Packages & Setup

# install.packages(c("tidyverse","purrr","R.matlab","readxl","dplyr"))
library(readxl);
library(purrr)
library(tidyverse);

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ ggplot2   3.5.0     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(tibble);
library(knitr);
library(gtsummary);
library(kableExtra);

## 
## Attaching package: 'kableExtra'
## 
## The following object is masked from 'package:dplyr':
## 
##     group_rows

library(lme4);

## Loading required package: Matrix
## 
## Attaching package: 'Matrix'
## 
## The following objects are masked from 'package:tidyr':
## 
##     expand, pack, unpack

library(MuMIn);

GTSUMMARY THEME

# my_theme <-
#   list(
#     "tbl_summary-str:default_con_type" = "continuous2",
#     "tbl_summary-str:continuous_stat" = c(
#       "{median} ({p25} - {p75})",
#       "{mean} ({sd})",
#       "{min} - {max}"
#     ),
#     "tbl_summary-str:categorical_stat" = "{n} / {N} ({p}%)",
#     "style_number-arg:big.mark" = "",
#     "tbl_summary-fn:percent_fun" = function(x) style_percent(x, digits = 3)
#   )
# my_theme <-
#   list()
# gtsummary::set_gtsummary_theme(my_theme)
gtsummary::set_gtsummary_theme(theme_gtsummary_journal("jama"))

## Setting theme `JAMA`
## Setting theme `JAMA`

# reset_gtsummary_theme()

load table

# excel_dir <-"M:/jsalminen/GitHub/par_EEGProcessing/src/_data/MIM_dataset/_studies/04162024_MIM_YAOAN89_antsnormalize_iccREMG0p4_powpow0p3_skull0p01/cluster/icrej_5/12/spec_data/group_spec/psd_calcs/fooof_kinematics_table.xlsx";
excel_dir <-"M:/jsalminen/GitHub/par_EEGProcessing/src/_data/MIM_dataset/_studies/04232024_MIM_YAOAN89_antsnorm_dipfix_iccREMG0p4_powpow0p3_skull0p01_15mmrej/cluster/icrej_5/11/spec_data/group_spec/psd_calcs/fooof_kinematics_table_nans.xlsx";
eegt <- read_excel(excel_dir,sheet="Sheet1")

get unique entries

#%% KIN PARAMS
kin_measures = c('mean_APexc_COV','mean_APexc_mean','mean_MLexc_COV','mean_MLexc_mean','mean_StepDur','mean_StepDur_cov','mean_UDexc_COV','mean_UDexc_mean','mean_StanceDur','mean_GaitCycleDur','mean_PeakUpDownVel_mean');
kin_title_chars = c("AP Exc. COV","AP Exc. Mean","ML Exc. COV","ML Exc. Mean","Step Dur.","Step Dur. COV","UD Exc. COV","UD Exc Mean","Stance Dur.","Gait Cycle Dur.","Peak UD Vel. Mean")
# kin_inds_plot = c(1:length(kin_measures));
kin_inds_plot = c(1,3,6,5,7);
#%% EEG PARAMS
clusters = unique(eegt$cluster_id);
subjects = unique(eegt$subj_char);
groups = unique(eegt$group_char);
# eeg_measures = c('theta_avg_power','alpha_avg_power','beta_avg_power','beta_div_theta','theta_div_beta','log_beta_div_theta','log_theta_div_beta','aperiodic_exp','aperiodic_offset');
# eeg_title_chars = c("**THETA**","**ALPHA**","**BETA**","**BETA/THETA**","**THETA/BETA**","**log10(BETA/THETA)**","**log10(THETA/BETA)**","**AP exp**","**AP offset**");
eeg_measures = c('theta_avg_power','alpha_avg_power','beta_avg_power','theta_div_beta','log_theta_div_beta','aperiodic_exp','aperiodic_offset');
eeg_title_chars = c("**THETA**","**ALPHA**","**BETA**","**THETA/BETA**","**log10(THETA/BETA)**","**AP exp**","**AP offset**");
# eeg_inds_plot = c(1:length(eeg_title_chars));
eeg_inds_plot = c(1,2,3,4);
cluster_inds_plot = c(10,5,2,6,9);

get speeds only

eegt <- filter_at(eegt,vars('cond_char'), any_vars(. %in% c('0.25','0.5','0.75','1.0')))
flat_speeds = unique(eegt$cond_char)
eegt$cond_char <- as.numeric(eegt$cond_char)
eegt$speed_cond_num <- as.numeric(eegt$cond_char)
eegt <- mutate(eegt,across(c('subj_char'), factor))
eegt <- mutate(eegt,across(c('group_char'), factor))
eegt$speed_ord <- cut(eegt$cond_char, 4, ordered = TRUE)
eegt <- mutate(eegt,across(c('cond_char'), factor))
eegt$group_speed_code = paste(eegt$group_char,eegt$cond_char,sep="_")
head(eegt)

create ratios

Log <- function(x, base = exp(1)) {
  LOG <- base::log(as.complex(x), base = base)
  if (all(Im(LOG) == 0)) { LOG <- Re(LOG) }
  LOG }
#%% CALCS
eegt <- eegt%>%
  mutate(beta_div_theta=beta_avg_power/theta_avg_power)
eegt <- eegt%>%
  mutate(theta_div_beta=theta_avg_power/beta_avg_power)
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10(beta_avg_power/theta_avg_power+max(abs(beta_avg_power/theta_avg_power))))
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10(theta_avg_power/beta_avg_power+max(abs(theta_avg_power/beta_avg_power))))
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10(beta_avg_power/theta_avg_power+mean(abs(beta_avg_power/theta_avg_power))/(mean(abs(beta_avg_power/theta_avg_power))+3*sd(abs(beta_avg_power/theta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10(theta_avg_power/beta_avg_power+mean(abs(theta_avg_power/beta_avg_power))/(mean(abs(theta_avg_power/beta_avg_power))+3*sd(abs(theta_avg_power/beta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10((beta_avg_power/theta_avg_power)+abs(min((beta_avg_power/theta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10((theta_avg_power/beta_avg_power)+abs(min((theta_avg_power/beta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=Re(Log((beta_avg_power/theta_avg_power),10)*Conj(Log((theta_avg_power/beta_avg_power),10))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=Re(Log((theta_avg_power/beta_avg_power),10)*Conj(Log((theta_avg_power/beta_avg_power),10))));
eegt <- eegt%>%
  mutate(log_beta_div_theta=Re(Log((beta_avg_power/theta_avg_power),10)));
eegt <- eegt%>%
  mutate(log_theta_div_beta=Re(Log((theta_avg_power/beta_avg_power),10)));

EEG TESTS: SPEED, GROUP, INTERACTION

LME EEG ~ 1+speed+group+speed:group

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.78 (0.42 to 1.1)	<0.001	<0.001	1.4 (0.45 to 2.3)	0.003	0.013	1.7 (0.89 to 2.5)	<0.001	<0.001	-1.2 (-9.1 to 6.8)	0.78	0.97
speed_cond_num	0.17 (-0.08 to 0.42)	0.19	0.26	-0.18 (-0.53 to 0.17)	0.32	0.64	-0.18 (-0.41 to 0.05)	0.12	0.16	0.24 (-11 to 12)	0.97	0.97
group_char		0.085	0.17		0.70	0.70		0.055	0.11		0.94	0.97
H1000’s	—			—			—			—
H2000’s	-0.45 (-1.0 to 0.09)			-0.27 (-1.6 to 1.1)			0.59 (-0.61 to 1.8)			2.1 (-9.8 to 14)
H3000’s	-0.55 (-1.1 to -0.04)			0.31 (-0.95 to 1.6)			1.4 (0.25 to 2.5)			1.3 (-9.9 to 13)
speed_cond_num * group_char		0.32	0.32		0.48	0.64		0.27	0.27		0.97	0.97
speed_cond_num * H2000’s	0.28 (-0.10 to 0.65)			0.30 (-0.22 to 0.82)			0.06 (-0.28 to 0.40)			1.8 (-16 to 19)
speed_cond_num * H3000’s	0.07 (-0.28 to 0.42)			0.03 (-0.47 to 0.52)			-0.20 (-0.52 to 0.12)			0.00 (-16 to 16)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0719, R2c: 0.8523

alpha_avg_power R2m: 0.0076, R2c: 0.952

beta_avg_power R2m: 0.0754, R2c: 0.9762

theta_div_beta R2m: 0.0076, R2c: 0.0076

## Warning: There was 1 warning in `mutate()`.
## ℹ In argument: `mod = `%>%`(...)`.
## ℹ In row 1.
## Caused by warning:
## ! 'r.squaredGLMM' now calculates a revised statistic. See the help page.

## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.34 (0.07 to 0.60)	0.014	0.028	2.6 (1.6 to 3.7)	<0.001	<0.001	2.6 (1.9 to 3.3)	<0.001	<0.001	-0.51 (-1.8 to 0.73)	0.42	0.71
speed_cond_num	0.20 (0.04 to 0.36)	0.012	0.028	-0.16 (-0.63 to 0.31)	0.52	0.69	-0.33 (-0.58 to -0.08)	0.011	0.022	1.4 (-0.25 to 3.1)	0.095	0.38
group_char		0.046	0.062		0.83	0.83		0.028	0.038		0.83	0.83
H1000’s	—			—			—			—
H2000’s	-0.53 (-0.97 to -0.10)			-0.14 (-1.9 to 1.6)			0.86 (-0.26 to 2.0)			0.38 (-1.6 to 2.4)
H3000’s	-0.32 (-0.70 to 0.07)			0.37 (-1.2 to 1.9)			1.3 (0.35 to 2.3)			0.55 (-1.2 to 2.3)
speed_cond_num * group_char		0.43	0.43		0.19	0.37		0.26	0.26		0.53	0.71
speed_cond_num * H2000’s	0.14 (-0.11 to 0.40)			-0.48 (-1.2 to 0.28)			-0.25 (-0.66 to 0.16)			-1.1 (-3.9 to 1.6)
speed_cond_num * H3000’s	-0.02 (-0.24 to 0.21)			-0.61 (-1.3 to 0.07)			-0.28 (-0.65 to 0.08)			-1.3 (-3.7 to 1.1)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0786, R2c: 0.8963

alpha_avg_power R2m: 0.0079, R2c: 0.9373

beta_avg_power R2m: 0.0805, R2c: 0.9609

theta_div_beta R2m: 0.0114, R2c: 0.1936

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.38 (0.15 to 0.61)	0.001	0.004	3.6 (2.7 to 4.6)	<0.001	<0.001	2.4 (1.8 to 3.1)	<0.001	<0.001	0.41 (-0.18 to 1.0)	0.17	0.69
speed_cond_num	0.08 (-0.09 to 0.24)	0.38	0.50	-0.29 (-0.66 to 0.08)	0.12	0.24	-0.18 (-0.39 to 0.03)	0.10	0.10	0.00 (-0.86 to 0.87)	0.99	0.99
group_char		0.13	0.26		0.76	0.76		0.024	0.033		0.42	0.83
H1000’s	—			—			—			—
H2000’s	-0.28 (-0.64 to 0.07)			-0.46 (-1.9 to 1.0)			0.46 (-0.49 to 1.4)			-0.36 (-1.3 to 0.55)
H3000’s	-0.31 (-0.65 to 0.02)			-0.46 (-1.9 to 0.94)			1.3 (0.35 to 2.2)			-0.58 (-1.5 to 0.29)
speed_cond_num * group_char		0.83	0.83		0.18	0.24		0.008	0.016		0.74	0.98
speed_cond_num * H2000’s	0.05 (-0.21 to 0.31)			0.00 (-0.57 to 0.57)			-0.09 (-0.42 to 0.24)			0.31 (-1.0 to 1.6)
speed_cond_num * H3000’s	-0.03 (-0.28 to 0.22)			-0.46 (-1.0 to 0.08)			-0.48 (-0.79 to -0.16)			0.50 (-0.77 to 1.8)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.13 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0637, R2c: 0.8253

alpha_avg_power R2m: 0.0199, R2c: 0.9533

beta_avg_power R2m: 0.0647, R2c: 0.9651

theta_div_beta R2m: 0.0137, R2c: 0.0243

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.44 (0.13 to 0.75)	0.005	0.021	4.0 (3.0 to 4.9)	<0.001	<0.001	2.4 (1.9 to 2.9)	<0.001	<0.001	0.23 (-0.67 to 1.1)	0.62	0.82
speed_cond_num	0.11 (-0.03 to 0.25)	0.12	0.25	-0.04 (-0.42 to 0.33)	0.82	0.93	-0.04 (-0.23 to 0.15)	0.65	0.65	0.06 (-1.3 to 1.4)	0.93	0.93
group_char		0.50	0.66		0.93	0.93		0.46	0.61		0.035	0.14
H1000’s	—			—			—			—
H2000’s	-0.26 (-0.75 to 0.23)			-0.20 (-1.7 to 1.3)			0.41 (-0.37 to 1.2)			-1.3 (-2.8 to 0.08)
H3000’s	0.02 (-0.46 to 0.50)			-0.25 (-1.7 to 1.2)			0.41 (-0.35 to 1.2)			0.64 (-0.75 to 2.0)
speed_cond_num * group_char		0.69	0.69		0.60	0.93		0.12	0.24		0.079	0.16
speed_cond_num * H2000’s	0.09 (-0.13 to 0.31)			-0.25 (-0.84 to 0.35)			-0.20 (-0.50 to 0.10)			1.9 (-0.18 to 4.0)
speed_cond_num * H3000’s	0.06 (-0.16 to 0.28)			-0.26 (-0.84 to 0.32)			-0.30 (-0.59 to 0.00)			-0.54 (-2.6 to 1.5)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0174, R2c: 0.9358

alpha_avg_power R2m: 0.0062, R2c: 0.9494

beta_avg_power R2m: 0.0109, R2c: 0.9536

theta_div_beta R2m: 0.028, R2c: 0.028

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.88 (0.50 to 1.3)	<0.001	<0.001	1.3 (0.70 to 1.9)	<0.001	<0.001	0.80 (0.34 to 1.3)	<0.001	0.003	2.2 (-4.6 to 9.0)	0.53	0.99
speed_cond_num	0.46 (0.25 to 0.67)	<0.001	<0.001	-0.07 (-0.47 to 0.33)	0.73	0.73	-0.11 (-0.30 to 0.07)	0.24	0.24	0.01 (-9.9 to 9.9)	0.99	0.99
group_char		0.051	0.067		0.35	0.70		0.024	0.048		0.98	0.99
H1000’s	—			—			—			—
H2000’s	-0.59 (-1.1 to -0.03)			0.11 (-0.77 to 0.99)			0.72 (0.04 to 1.4)			-0.96 (-11 to 8.9)
H3000’s	-0.60 (-1.2 to -0.05)			0.62 (-0.26 to 1.5)			0.88 (0.20 to 1.6)			-0.06 (-9.9 to 9.8)
speed_cond_num * group_char		0.47	0.47		0.69	0.73		0.24	0.24		0.94	0.99
speed_cond_num * H2000’s	-0.19 (-0.50 to 0.11)			-0.24 (-0.82 to 0.33)			-0.23 (-0.50 to 0.04)			-2.5 (-17 to 12)
speed_cond_num * H3000’s	-0.09 (-0.39 to 0.22)			-0.18 (-0.75 to 0.40)			-0.16 (-0.43 to 0.11)			-0.84 (-15 to 14)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1341, R2c: 0.9152

alpha_avg_power R2m: 0.0337, R2c: 0.8614

beta_avg_power R2m: 0.0919, R2c: 0.9544

theta_div_beta R2m: 0.0077, R2c: 0.0077

## LME EEG ~ 1+speed+group

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.72 (0.38 to 1.1)	<0.001	<0.001	1.3 (0.41 to 2.2)	0.004	0.012	1.7 (0.93 to 2.5)	<0.001	<0.001	-1.5 (-6.9 to 3.9)	0.59	0.83
speed_cond_num	0.27 (0.12 to 0.42)	<0.001	<0.001	-0.08 (-0.29 to 0.13)	0.44	0.65	-0.24 (-0.37 to -0.10)	<0.001	<0.001	0.76 (-6.1 to 7.7)	0.83	0.83
group_char		0.10	0.10		0.80	0.80		0.087	0.087		0.42	0.83
H1000’s	—			—			—			—
H2000’s	-0.28 (-0.77 to 0.21)			-0.08 (-1.4 to 1.2)			0.62 (-0.55 to 1.8)			3.3 (-1.6 to 8.1)
H3000’s	-0.50 (-0.96 to -0.04)			0.33 (-0.90 to 1.5)			1.2 (0.14 to 2.3)			1.3 (-3.2 to 5.9)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0706, R2c: 0.8519

alpha_avg_power R2m: 0.0073, R2c: 0.9522

beta_avg_power R2m: 0.0751, R2c: 0.9761

theta_div_beta R2m: 0.0075, R2c: 0.0075

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.32 (0.06 to 0.58)	0.015	0.023	2.8 (1.8 to 3.9)	<0.001	<0.001	2.7 (2.1 to 3.4)	<0.001	<0.001	-0.04 (-0.97 to 0.88)	0.93	0.93
speed_cond_num	0.23 (0.13 to 0.33)	<0.001	<0.001	-0.50 (-0.79 to -0.20)	0.001	0.002	-0.49 (-0.65 to -0.34)	<0.001	<0.001	0.69 (-0.36 to 1.7)	0.20	0.60
group_char		0.063	0.063		0.85	0.85		0.060	0.060		0.79	0.93
H1000’s	—			—			—			—
H2000’s	-0.44 (-0.85 to -0.04)			-0.44 (-2.1 to 1.2)			0.71 (-0.39 to 1.8)			-0.32 (-1.4 to 0.73)
H3000’s	-0.33 (-0.68 to 0.03)			-0.01 (-1.5 to 1.4)			1.2 (0.20 to 2.1)			-0.26 (-1.2 to 0.67)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0781, R2c: 0.8964

alpha_avg_power R2m: 0.0071, R2c: 0.9369

beta_avg_power R2m: 0.0802, R2c: 0.9608

theta_div_beta R2m: 0.0077, R2c: 0.1918

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.38 (0.17 to 0.59)	<0.001	0.001	3.7 (2.8 to 4.7)	<0.001	<0.001	2.6 (1.9 to 3.2)	<0.001	<0.001	0.25 (-0.16 to 0.67)	0.23	0.35
speed_cond_num	0.08 (-0.02 to 0.19)	0.12	0.12	-0.45 (-0.68 to -0.22)	<0.001	<0.001	-0.36 (-0.50 to -0.23)	<0.001	<0.001	0.26 (-0.28 to 0.79)	0.35	0.35
group_char		0.073	0.11		0.55	0.55		0.11	0.11		0.33	0.35
H1000’s	—			—			—			—
H2000’s	-0.25 (-0.56 to 0.06)			-0.46 (-1.9 to 0.98)			0.41 (-0.53 to 1.3)			-0.17 (-0.55 to 0.21)
H3000’s	-0.33 (-0.63 to -0.03)			-0.75 (-2.1 to 0.61)			0.96 (0.07 to 1.8)			-0.27 (-0.63 to 0.09)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)			1.2 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0636, R2c: 0.8266

alpha_avg_power R2m: 0.0193, R2c: 0.9529

beta_avg_power R2m: 0.0634, R2c: 0.9638

theta_div_beta R2m: 0.0115, R2c: 0.0238

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.41 (0.11 to 0.72)	0.007	0.011	4.1 (3.1 to 5.0)	<0.001	<0.001	2.5 (2.0 to 3.0)	<0.001	<0.001	0.00 (-0.65 to 0.65)	0.99	0.99
speed_cond_num	0.15 (0.06 to 0.24)	<0.001	0.003	-0.19 (-0.43 to 0.05)	0.12	0.19	-0.19 (-0.31 to -0.07)	0.003	0.004	0.43 (-0.43 to 1.3)	0.33	0.51
group_char		0.57	0.57		0.81	0.81		0.72	0.72		0.34	0.51
H1000’s	—			—			—			—
H2000’s	-0.20 (-0.67 to 0.27)			-0.36 (-1.8 to 1.1)			0.29 (-0.47 to 1.0)			-0.16 (-0.74 to 0.43)
H3000’s	0.06 (-0.40 to 0.51)			-0.42 (-1.8 to 0.98)			0.22 (-0.51 to 0.96)			0.30 (-0.27 to 0.87)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0173, R2c: 0.9362

alpha_avg_power R2m: 0.006, R2c: 0.9496

beta_avg_power R2m: 0.0102, R2c: 0.9531

theta_div_beta R2m: 0.0108, R2c: 0.0108

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.94 (0.57 to 1.3)	<0.001	<0.001	1.4 (0.82 to 2.0)	<0.001	<0.001	0.88 (0.42 to 1.3)	<0.001	<0.001	2.8 (-1.8 to 7.4)	0.23	0.67
speed_cond_num	0.37 (0.24 to 0.49)	<0.001	<0.001	-0.20 (-0.44 to 0.03)	0.090	0.13	-0.24 (-0.35 to -0.12)	<0.001	<0.001	-1.0 (-6.9 to 4.8)	0.73	0.73
group_char		0.012	0.012		0.34	0.34		0.052	0.052		0.45	0.67
H1000’s	—			—			—			—
H2000’s	-0.71 (-1.2 to -0.18)			-0.04 (-0.85 to 0.76)			0.58 (-0.08 to 1.2)			-2.5 (-6.5 to 1.5)
H3000’s	-0.66 (-1.2 to -0.13)			0.51 (-0.30 to 1.3)			0.78 (0.12 to 1.4)			-0.58 (-4.6 to 3.4)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1337, R2c: 0.9153

alpha_avg_power R2m: 0.0333, R2c: 0.8622

beta_avg_power R2m: 0.0913, R2c: 0.9542

theta_div_beta R2m: 0.0073, R2c: 0.0073

# KINEMATIC TESTS: SPEED, GROUP, INTERACTION ## LME KIN ~ 1+speed+group+speed:group

Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	17 (14 to 20)	<0.001	<0.001	11 (8.8 to 13)	<0.001	<0.001	8.9 (8.0 to 9.8)	<0.001	<0.001	1.6 (1.5 to 1.7)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001
speed_cond_num	-2.1 (-5.2 to 0.90)	0.17	0.17	6.0 (3.1 to 8.8)	<0.001	<0.001	-6.1 (-7.3 to -4.9)	<0.001	<0.001	-1.1 (-1.2 to -0.97)	<0.001	<0.001	-16 (-18 to -14)	<0.001	<0.001
group_char		<0.001	<0.001		0.10	0.10		0.82	0.82		<0.001	<0.001		0.21	0.21
H1000’s	—			—			—			—			—
H2000’s	7.9 (4.0 to 12)			-3.2 (-6.6 to 0.30)			0.18 (-1.2 to 1.5)			-0.40 (-0.51 to -0.30)			2.1 (-0.23 to 4.5)
H3000’s	12 (8.7 to 16)			0.32 (-2.9 to 3.6)			-0.25 (-1.5 to 1.0)			-0.59 (-0.68 to -0.49)			0.96 (-1.3 to 3.2)
speed_cond_num * group_char		0.12	0.16		0.10	0.10		0.41	0.54		<0.001	<0.001		0.19	0.21
speed_cond_num * H2000’s	-2.0 (-6.5 to 2.6)			3.6 (-0.66 to 7.9)			0.38 (-1.4 to 2.2)			0.41 (0.27 to 0.55)			-1.8 (-4.9 to 1.2)
speed_cond_num * H3000’s	-4.5 (-8.8 to -0.22)			-0.81 (-4.8 to 3.2)			1.1 (-0.55 to 2.8)			0.57 (0.43 to 0.70)			0.98 (-1.9 to 3.8)
subj_char.sd__(Intercept)	3.7 (NA to NA)			2.9 (NA to NA)			0.91 (NA to NA)			0.06 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	4.0 (NA to NA)			3.7 (NA to NA)			1.6 (NA to NA)			0.12 (NA to NA)			2.7 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3899, R2c: 0.6729

mean_MLexc_COV R2m: 0.1505, R2c: 0.464

mean_StepDur_cov R2m: 0.4346, R2c: 0.5769

mean_StepDur R2m: 0.7552, R2c: 0.8061

mean_UDexc_COV R2m: 0.6665, R2c: 0.7672

Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 21)	<0.001	<0.001	10 (8.2 to 12)	<0.001	<0.001	9.0 (8.2 to 9.8)	<0.001	<0.001	1.5 (1.5 to 1.6)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001
speed_cond_num	-3.5 (-6.3 to -0.71)	0.014	0.019	5.7 (3.5 to 7.9)	<0.001	<0.001	-6.3 (-7.3 to -5.2)	<0.001	<0.001	-1.0 (-1.1 to -0.93)	<0.001	<0.001	-16 (-17 to -14)	<0.001	<0.001
group_char		<0.001	<0.001		0.031	0.031		0.45	0.45		<0.001	<0.001		0.24	0.24
H1000’s	—			—			—			—			—
H2000’s	5.8 (1.9 to 9.7)			-2.6 (-5.7 to 0.40)			0.29 (-1.0 to 1.6)			-0.31 (-0.40 to -0.21)			2.0 (-0.36 to 4.3)
H3000’s	11 (7.2 to 14)			1.5 (-1.2 to 4.2)			-0.52 (-1.7 to 0.64)			-0.53 (-0.61 to -0.44)			0.41 (-1.7 to 2.5)
speed_cond_num * group_char		0.33	0.33		0.002	0.002		0.15	0.20		<0.001	<0.001		0.023	0.031
speed_cond_num * H2000’s	0.44 (-4.1 to 5.0)			4.9 (1.3 to 8.5)			0.19 (-1.5 to 1.9)			0.30 (0.17 to 0.43)			-2.1 (-4.9 to 0.70)
speed_cond_num * H3000’s	-2.6 (-6.6 to 1.5)			-1.6 (-4.7 to 1.6)			1.4 (-0.10 to 2.9)			0.51 (0.39 to 0.62)			1.9 (-0.62 to 4.3)
subj_char.sd__(Intercept)	3.8 (NA to NA)			2.9 (NA to NA)			0.99 (NA to NA)			0.06 (NA to NA)			2.1 (NA to NA)
Residual.sd__Observation	4.1 (NA to NA)			3.2 (NA to NA)			1.5 (NA to NA)			0.12 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3635, R2c: 0.6534

mean_MLexc_COV R2m: 0.1656, R2c: 0.5392

mean_StepDur_cov R2m: 0.4468, R2c: 0.613

mean_StepDur R2m: 0.7609, R2c: 0.811

mean_UDexc_COV R2m: 0.6392, R2c: 0.7909

Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	17 (15 to 20)	<0.001	<0.001	11 (9.4 to 13)	<0.001	<0.001	9.3 (8.5 to 10)	<0.001	<0.001	1.6 (1.5 to 1.6)	<0.001	<0.001	23 (21 to 24)	<0.001	<0.001
speed_cond_num	-2.6 (-5.5 to 0.21)	0.070	0.093	5.3 (2.9 to 7.6)	<0.001	<0.001	-6.6 (-7.7 to -5.6)	<0.001	<0.001	-1.0 (-1.1 to -0.95)	<0.001	<0.001	-16 (-18 to -14)	<0.001	<0.001
group_char		<0.001	<0.001		0.16	0.16		0.045	0.045		<0.001	<0.001		0.38	0.38
H1000’s	—			—			—			—			—
H2000’s	6.9 (3.3 to 11)			-2.9 (-6.0 to 0.25)			-0.68 (-1.9 to 0.55)			-0.39 (-0.49 to -0.30)			1.4 (-0.89 to 3.7)
H3000’s	11 (7.8 to 15)			-0.35 (-3.3 to 2.6)			-1.5 (-2.7 to -0.32)			-0.58 (-0.67 to -0.48)			-0.11 (-2.3 to 2.1)
speed_cond_num * group_char		0.43	0.43		0.15	0.16		0.009	0.011		<0.001	<0.001		0.051	0.069
speed_cond_num * H2000’s	-1.3 (-5.7 to 3.1)			2.8 (-0.79 to 6.5)			1.3 (-0.29 to 3.0)			0.40 (0.27 to 0.52)			-1.1 (-3.9 to 1.7)
speed_cond_num * H3000’s	-2.8 (-6.9 to 1.4)			-0.66 (-4.1 to 2.8)			2.5 (0.89 to 4.0)			0.55 (0.43 to 0.67)			2.4 (-0.31 to 5.1)
subj_char.sd__(Intercept)	3.4 (NA to NA)			3.2 (NA to NA)			0.86 (NA to NA)			0.06 (NA to NA)			2.1 (NA to NA)
Residual.sd__Observation	4.1 (NA to NA)			3.4 (NA to NA)			1.5 (NA to NA)			0.12 (NA to NA)			2.7 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3892, R2c: 0.6362

mean_MLexc_COV R2m: 0.1227, R2c: 0.5268

mean_StepDur_cov R2m: 0.4317, R2c: 0.5666

mean_StepDur R2m: 0.7498, R2c: 0.8026

mean_UDexc_COV R2m: 0.6246, R2c: 0.7702

Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 20)	<0.001	<0.001	11 (9.2 to 13)	<0.001	<0.001	9.3 (8.5 to 10)	<0.001	<0.001	1.6 (1.5 to 1.6)	<0.001	<0.001	23 (21 to 24)	<0.001	<0.001
speed_cond_num	-3.5 (-6.2 to -0.79)	0.011	0.015	5.6 (3.2 to 7.9)	<0.001	<0.001	-6.6 (-7.6 to -5.5)	<0.001	<0.001	-1.0 (-1.1 to -0.94)	<0.001	<0.001	-16 (-18 to -14)	<0.001	<0.001
group_char		<0.001	<0.001		0.10	0.10		0.19	0.19		<0.001	<0.001		0.24	0.31
H1000’s	—			—			—			—			—
H2000’s	6.2 (2.8 to 9.7)			-2.8 (-5.9 to 0.27)			-0.25 (-1.5 to 1.0)			-0.38 (-0.47 to -0.28)			1.8 (-0.27 to 3.9)
H3000’s	12 (8.2 to 15)			0.52 (-2.5 to 3.6)			-1.1 (-2.4 to 0.11)			-0.57 (-0.66 to -0.48)			0.70 (-1.3 to 2.7)
speed_cond_num * group_char		0.10	0.10		0.038	0.050		0.062	0.083		<0.001	<0.001		0.38	0.38
speed_cond_num * H2000’s	-0.54 (-4.8 to 3.7)			3.8 (0.10 to 7.5)			0.90 (-0.80 to 2.6)			0.36 (0.24 to 0.49)			-1.1 (-3.7 to 1.4)
speed_cond_num * H3000’s	-4.4 (-8.6 to -0.19)			-1.1 (-4.8 to 2.5)			2.0 (0.33 to 3.7)			0.55 (0.43 to 0.67)			0.83 (-1.7 to 3.4)
subj_char.sd__(Intercept)	3.1 (NA to NA)			3.1 (NA to NA)			0.94 (NA to NA)			0.06 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	4.2 (NA to NA)			3.7 (NA to NA)			1.7 (NA to NA)			0.12 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3778, R2c: 0.5985

mean_MLexc_COV R2m: 0.1292, R2c: 0.4997

mean_StepDur_cov R2m: 0.4146, R2c: 0.5549

mean_StepDur R2m: 0.7606, R2c: 0.8038

mean_UDexc_COV R2m: 0.6686, R2c: 0.791

Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 21)	<0.001	<0.001	10 (8.2 to 12)	<0.001	<0.001	8.7 (8.0 to 9.5)	<0.001	<0.001	1.5 (1.5 to 1.6)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001
speed_cond_num	-3.9 (-7.2 to -0.66)	0.019	0.025	6.1 (3.4 to 8.8)	<0.001	<0.001	-5.9 (-6.8 to -4.9)	<0.001	<0.001	-1.0 (-1.1 to -0.91)	<0.001	<0.001	-16 (-18 to -14)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.18	0.18		<0.001	<0.001		0.35	0.35
H1000’s	—			—			—			—			—
H2000’s	5.8 (1.9 to 9.7)			-3.5 (-6.5 to -0.50)			-0.88 (-2.0 to 0.22)			-0.39 (-0.49 to -0.30)			1.5 (-0.57 to 3.6)
H3000’s	14 (10 to 18)			2.6 (-0.44 to 5.5)			0.05 (-1.0 to 1.1)			-0.64 (-0.74 to -0.54)			0.95 (-1.1 to 3.0)
speed_cond_num * group_char		0.11	0.11		<0.001	<0.001		0.088	0.12		<0.001	<0.001		0.28	0.35
speed_cond_num * H2000’s	0.73 (-4.0 to 5.5)			4.8 (0.90 to 8.8)			1.5 (0.13 to 2.9)			0.40 (0.27 to 0.53)			-0.78 (-3.3 to 1.8)
speed_cond_num * H3000’s	-4.1 (-8.9 to 0.64)			-3.0 (-6.9 to 0.95)			1.0 (-0.36 to 2.4)			0.61 (0.48 to 0.74)			1.3 (-1.2 to 3.8)
subj_char.sd__(Intercept)	3.4 (NA to NA)			2.1 (NA to NA)			0.91 (NA to NA)			0.07 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	4.3 (NA to NA)			3.5 (NA to NA)			1.2 (NA to NA)			0.12 (NA to NA)			2.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4474, R2c: 0.6644

mean_MLexc_COV R2m: 0.2096, R2c: 0.4145

mean_StepDur_cov R2m: 0.4782, R2c: 0.6618

mean_StepDur R2m: 0.7454, R2c: 0.8117

mean_UDexc_COV R2m: 0.6944, R2c: 0.818

## LME KIN ~ 1+speed+group

Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 21)	<0.001	<0.001	11 (8.8 to 12)	<0.001	<0.001	8.6 (7.9 to 9.2)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001
speed_cond_num	-4.3 (-6.1 to -2.5)	<0.001	<0.001	6.7 (5.0 to 8.4)	<0.001	<0.001	-5.6 (-6.3 to -4.9)	<0.001	<0.001	-0.75 (-0.81 to -0.68)	<0.001	<0.001	-16 (-17 to -15)	<0.001	<0.001
group_char		<0.001	<0.001		0.71	0.71		0.39	0.39		<0.001	<0.001		0.060	0.060
H1000’s	—			—			—			—			—
H2000’s	6.7 (4.0 to 9.4)			-0.89 (-3.1 to 1.3)			0.42 (-0.34 to 1.2)			-0.15 (-0.20 to -0.09)			1.0 (-0.40 to 2.4)
H3000’s	9.6 (7.1 to 12)			-0.20 (-2.2 to 1.8)			0.46 (-0.25 to 1.2)			-0.23 (-0.28 to -0.18)			1.6 (0.26 to 2.9)
subj_char.sd__(Intercept)	3.7 (NA to NA)			2.8 (NA to NA)			0.91 (NA to NA)			0.05 (NA to NA)			1.7 (NA to NA)
Residual.sd__Observation	4.0 (NA to NA)			3.8 (NA to NA)			1.6 (NA to NA)			0.15 (NA to NA)			2.7 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3847, R2c: 0.6681

mean_MLexc_COV R2m: 0.141, R2c: 0.4532

mean_StepDur_cov R2m: 0.433, R2c: 0.5758

mean_StepDur R2m: 0.6953, R2c: 0.7269

mean_UDexc_COV R2m: 0.6649, R2c: 0.7648

Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	19 (17 to 21)	<0.001	<0.001	9.7 (8.2 to 11)	<0.001	<0.001	8.6 (8.0 to 9.3)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 23)	<0.001	<0.001
speed_cond_num	-4.4 (-6.1 to -2.6)	<0.001	<0.001	6.3 (4.9 to 7.8)	<0.001	<0.001	-5.7 (-6.4 to -5.1)	<0.001	<0.001	-0.75 (-0.81 to -0.69)	<0.001	<0.001	-15 (-17 to -14)	<0.001	<0.001
group_char		<0.001	<0.001		0.85	0.85		0.48	0.48		<0.001	<0.001		0.074	0.074
H1000’s	—			—			—			—			—
H2000’s	6.0 (3.4 to 8.7)			0.42 (-1.6 to 2.5)			0.41 (-0.36 to 1.2)			-0.12 (-0.17 to -0.07)			0.66 (-0.87 to 2.2)
H3000’s	9.0 (6.7 to 11)			0.49 (-1.3 to 2.3)			0.35 (-0.33 to 1.0)			-0.21 (-0.26 to -0.16)			1.6 (0.22 to 2.9)
subj_char.sd__(Intercept)	3.8 (NA to NA)			2.9 (NA to NA)			0.99 (NA to NA)			0.05 (NA to NA)			2.1 (NA to NA)
Residual.sd__Observation	4.1 (NA to NA)			3.3 (NA to NA)			1.5 (NA to NA)			0.14 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3614, R2c: 0.6524

mean_MLexc_COV R2m: 0.1443, R2c: 0.5116

mean_StepDur_cov R2m: 0.4427, R2c: 0.6085

mean_StepDur R2m: 0.71, R2c: 0.7438

mean_UDexc_COV R2m: 0.6348, R2c: 0.7843

Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 20)	<0.001	<0.001	11 (9.4 to 13)	<0.001	<0.001	8.6 (7.9 to 9.2)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001
speed_cond_num	-3.9 (-5.7 to -2.2)	<0.001	<0.001	5.9 (4.4 to 7.3)	<0.001	<0.001	-5.4 (-6.1 to -4.7)	<0.001	<0.001	-0.74 (-0.80 to -0.67)	<0.001	<0.001	-16 (-17 to -14)	<0.001	<0.001
group_char		<0.001	<0.001		0.57	0.57		0.90	0.90		<0.001	<0.001		0.15	0.15
H1000’s	—			—			—			—			—
H2000’s	6.1 (3.8 to 8.5)			-1.1 (-3.2 to 1.0)			0.16 (-0.53 to 0.84)			-0.15 (-0.20 to -0.09)			0.73 (-0.75 to 2.2)
H3000’s	9.5 (7.3 to 12)			-0.77 (-2.8 to 1.3)			0.04 (-0.61 to 0.69)			-0.23 (-0.28 to -0.18)			1.4 (-0.01 to 2.8)
subj_char.sd__(Intercept)	3.4 (NA to NA)			3.2 (NA to NA)			0.85 (NA to NA)			0.05 (NA to NA)			2.1 (NA to NA)
Residual.sd__Observation	4.1 (NA to NA)			3.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)			2.7 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3878, R2c: 0.636

mean_MLexc_COV R2m: 0.1167, R2c: 0.5205

mean_StepDur_cov R2m: 0.4179, R2c: 0.549

mean_StepDur R2m: 0.6909, R2c: 0.7248

mean_UDexc_COV R2m: 0.6212, R2c: 0.7648

Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	19 (17 to 21)	<0.001	<0.001	11 (9.0 to 12)	<0.001	<0.001	8.7 (8.1 to 9.4)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	23 (22 to 24)	<0.001	<0.001
speed_cond_num	-5.0 (-6.7 to -3.2)	<0.001	<0.001	6.3 (4.8 to 7.8)	<0.001	<0.001	-5.7 (-6.4 to -5.0)	<0.001	<0.001	-0.75 (-0.81 to -0.69)	<0.001	<0.001	-16 (-17 to -15)	<0.001	<0.001
group_char		<0.001	<0.001		0.91	0.91		0.69	0.69		<0.001	<0.001		0.11	0.11
H1000’s	—			—			—			—			—
H2000’s	5.9 (3.7 to 8.0)			-0.46 (-2.5 to 1.6)			0.32 (-0.40 to 1.0)			-0.15 (-0.20 to -0.10)			1.1 (-0.22 to 2.4)
H3000’s	8.8 (6.7 to 11)			-0.21 (-2.2 to 1.8)			0.11 (-0.58 to 0.81)			-0.23 (-0.28 to -0.18)			1.2 (-0.06 to 2.5)
subj_char.sd__(Intercept)	3.1 (NA to NA)			3.1 (NA to NA)			0.94 (NA to NA)			0.04 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	4.3 (NA to NA)			3.7 (NA to NA)			1.7 (NA to NA)			0.14 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.372, R2c: 0.5928

mean_MLexc_COV R2m: 0.1183, R2c: 0.4867

mean_StepDur_cov R2m: 0.4073, R2c: 0.5462

mean_StepDur R2m: 0.7043, R2c: 0.7294

mean_UDexc_COV R2m: 0.6684, R2c: 0.7906

Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	19 (17 to 21)	<0.001	<0.001	9.9 (8.3 to 11)	<0.001	<0.001	8.2 (7.6 to 8.8)	<0.001	<0.001	1.3 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 23)	<0.001	<0.001
speed_cond_num	-5.0 (-7.0 to -3.1)	<0.001	<0.001	6.7 (5.0 to 8.3)	<0.001	<0.001	-5.1 (-5.6 to -4.5)	<0.001	<0.001	-0.68 (-0.74 to -0.61)	<0.001	<0.001	-16 (-17 to -15)	<0.001	<0.001
group_char		<0.001	<0.001		0.43	0.43		0.10	0.10		<0.001	<0.001		0.039	0.039
H1000’s	—			—			—			—			—
H2000’s	6.3 (3.8 to 8.8)			-0.46 (-2.2 to 1.2)			0.06 (-0.62 to 0.74)			-0.15 (-0.20 to -0.09)			1.0 (-0.33 to 2.4)
H3000’s	11 (8.8 to 14)			0.69 (-1.0 to 2.4)			0.68 (0.00 to 1.4)			-0.26 (-0.31 to -0.20)			1.8 (0.39 to 3.1)
subj_char.sd__(Intercept)	3.4 (NA to NA)			2.0 (NA to NA)			0.90 (NA to NA)			0.05 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	4.3 (NA to NA)			3.7 (NA to NA)			1.2 (NA to NA)			0.14 (NA to NA)			2.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4423, R2c: 0.6587

mean_MLexc_COV R2m: 0.1738, R2c: 0.369

mean_StepDur_cov R2m: 0.4726, R2c: 0.6553

mean_StepDur R2m: 0.6736, R2c: 0.7162

mean_UDexc_COV R2m: 0.6935, R2c: 0.8172

# EEG TESTS: KINEMATIC, GROUP, INTERACTION ## LME EEG ~ 1+kin+group+kin:group

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.56 to 1.6)	<0.001	<0.001	1.3 (0.30 to 2.3)	0.011	0.044	1.7 (0.80 to 2.5)	<0.001	<0.001	-2.0 (-15 to 12)	0.77	0.89
mean_APexc_COV	-0.01 (-0.03 to 0.01)	0.36	0.48	0.00 (-0.04 to 0.03)	0.78	0.86	-0.01 (-0.03 to 0.02)	0.63	0.63	0.06 (-0.77 to 0.90)	0.89	0.89
group_char		0.15	0.30		0.86	0.86		0.47	0.63		0.47	0.89
H1000’s	—			—			—			—
H2000’s	-0.24 (-1.1 to 0.58)			-0.36 (-2.0 to 1.2)			0.29 (-1.0 to 1.6)			12 (-8.5 to 33)
H3000’s	-0.70 (-1.4 to 0.01)			0.05 (-1.4 to 1.5)			0.75 (-0.45 to 2.0)			1.8 (-16 to 20)
mean_APexc_COV * group_char		0.62	0.62		0.79	0.86		0.27	0.54		0.64	0.89
mean_APexc_COV * H2000’s	0.00 (-0.03 to 0.04)			0.01 (-0.03 to 0.06)			0.02 (-0.01 to 0.05)			-0.41 (-1.5 to 0.66)
mean_APexc_COV * H3000’s	0.01 (-0.02 to 0.04)			0.01 (-0.03 to 0.05)			0.02 (0.00 to 0.05)			-0.04 (-1.0 to 0.92)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0637, R2c: 0.8434

alpha_avg_power R2m: 0.0076, R2c: 0.9517

beta_avg_power R2m: 0.0754, R2c: 0.9752

theta_div_beta R2m: 0.0116, R2c: 0.0116

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.67 to 1.5)	<0.001	<0.001	1.1 (0.20 to 2.1)	0.018	0.071	1.4 (0.59 to 2.2)	<0.001	0.003	-7.5 (-19 to 4.0)	0.20	0.33
mean_APexc_mean	-3.8 (-8.7 to 1.1)	0.13	0.17	1.9 (-4.7 to 8.5)	0.58	0.77	3.0 (-1.4 to 7.4)	0.18	0.24	120 (-84 to 323)	0.25	0.33
group_char		0.056	0.11		0.94	0.94		0.11	0.23		0.25	0.33
H1000’s	—			—			—			—
H2000’s	-0.20 (-0.83 to 0.42)			-0.22 (-1.6 to 1.2)			0.48 (-0.74 to 1.7)			14 (-2.5 to 30)
H3000’s	-0.70 (-1.3 to -0.11)			0.02 (-1.3 to 1.3)			1.2 (0.07 to 2.3)			8.0 (-6.5 to 23)
mean_APexc_mean * group_char		0.41	0.41		0.33	0.65		0.62	0.62		0.41	0.41
mean_APexc_mean * H2000’s	-2.2 (-10 to 5.5)			3.2 (-7.3 to 14)			3.5 (-3.5 to 10)			-204 (-511 to 103)
mean_APexc_mean * H3000’s	3.5 (-4.3 to 11)			8.1 (-2.5 to 19)			1.7 (-5.4 to 8.8)			-123 (-408 to 161)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.45 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.068, R2c: 0.8444

alpha_avg_power R2m: 0.0098, R2c: 0.9531

beta_avg_power R2m: 0.0759, R2c: 0.9755

theta_div_beta R2m: 0.0149, R2c: 0.0149

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.95 (0.49 to 1.4)	<0.001	<0.001	1.6 (0.64 to 2.6)	0.001	0.005	1.8 (0.92 to 2.6)	<0.001	<0.001	3.1 (-7.2 to 13)	0.56	0.86
mean_MLexc_COV	0.00 (-0.03 to 0.02)	0.72	0.72	-0.03 (-0.06 to 0.00)	0.10	0.20	-0.01 (-0.03 to 0.01)	0.22	0.30	-0.27 (-0.93 to 0.38)	0.41	0.86
group_char		0.071	0.14		0.66	0.66		0.11	0.23		0.86	0.86
H1000’s	—			—			—			—
H2000’s	-0.59 (-1.2 to 0.05)			-0.62 (-2.0 to 0.80)			0.48 (-0.75 to 1.7)			0.89 (-13 to 15)
H3000’s	-0.69 (-1.3 to -0.06)			-0.11 (-1.5 to 1.2)			1.2 (0.06 to 2.4)			-3.0 (-18 to 12)
mean_MLexc_COV * group_char		0.30	0.40		0.16	0.21		0.71	0.71		0.84	0.86
mean_MLexc_COV * H2000’s	0.02 (-0.01 to 0.05)			0.04 (0.00 to 0.08)			0.01 (-0.02 to 0.04)			0.15 (-0.77 to 1.1)
mean_MLexc_COV * H3000’s	0.01 (-0.02 to 0.04)			0.03 (-0.01 to 0.07)			0.00 (-0.03 to 0.03)			0.29 (-0.66 to 1.2)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.46 (NA to NA)			0.31 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0675, R2c: 0.8445

alpha_avg_power R2m: 0.0088, R2c: 0.9518

beta_avg_power R2m: 0.0748, R2c: 0.9748

theta_div_beta R2m: 0.0106, R2c: 0.0106

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.61 to 1.4)	<0.001	<0.001	0.95 (0.01 to 1.9)	0.047	0.19	1.4 (0.55 to 2.2)	0.001	0.004	-5.6 (-15 to 4.2)	0.26	0.44
mean_MLexc_mean	-1.7 (-4.8 to 1.5)	0.30	0.40	3.7 (-0.79 to 8.1)	0.11	0.21	2.6 (-0.33 to 5.5)	0.082	0.13	58 (-59 to 175)	0.33	0.44
group_char		0.21	0.40		0.76	0.76		0.10	0.13		0.32	0.44
H1000’s	—			—			—			—
H2000’s	-0.03 (-0.62 to 0.56)			0.27 (-1.1 to 1.7)			0.68 (-0.53 to 1.9)			10 (-3.2 to 24)
H3000’s	-0.45 (-1.0 to 0.11)			0.49 (-0.81 to 1.8)			1.2 (0.10 to 2.4)			6.0 (-6.5 to 19)
mean_MLexc_mean * group_char		0.42	0.42		0.27	0.37		0.79	0.79		0.53	0.53
mean_MLexc_mean * H2000’s	-2.2 (-6.0 to 1.6)			-4.3 (-9.7 to 1.1)			-1.0 (-4.6 to 2.5)			-84 (-232 to 63)
mean_MLexc_mean * H3000’s	-0.55 (-4.5 to 3.4)			-2.2 (-7.8 to 3.5)			-0.16 (-3.9 to 3.6)			-59 (-205 to 86)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0763, R2c: 0.8546

alpha_avg_power R2m: 0.0084, R2c: 0.9519

beta_avg_power R2m: 0.0756, R2c: 0.9756

theta_div_beta R2m: 0.0125, R2c: 0.0125

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.65 to 1.4)	<0.001	<0.001	1.1 (0.17 to 2.0)	0.020	0.082	1.5 (0.66 to 2.3)	<0.001	0.001	-2.9 (-12 to 6.6)	0.55	0.75
mean_StepDur	-0.16 (-0.37 to 0.06)	0.15	0.27	0.17 (-0.13 to 0.47)	0.26	0.52	0.12 (-0.08 to 0.32)	0.23	0.29	2.1 (-7.6 to 12)	0.67	0.75
group_char		0.31	0.31		0.91	0.91		0.21	0.29		0.54	0.75
H1000’s	—			—			—			—
H2000’s	0.00 (-0.61 to 0.60)			0.08 (-1.3 to 1.5)			0.51 (-0.71 to 1.7)			9.3 (-7.2 to 26)
H3000’s	-0.41 (-0.99 to 0.17)			0.28 (-1.0 to 1.6)			1.0 (-0.11 to 2.2)			3.7 (-12 to 19)
mean_StepDur * group_char		0.20	0.27		0.76	0.91		0.29	0.29		0.75	0.75
mean_StepDur * H2000’s	-0.39 (-0.83 to 0.05)			-0.17 (-0.78 to 0.44)			0.17 (-0.23 to 0.57)			-7.4 (-27 to 12)
mean_StepDur * H3000’s	-0.19 (-0.67 to 0.29)			0.13 (-0.54 to 0.80)			0.33 (-0.11 to 0.77)			-2.7 (-22 to 17)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0725, R2c: 0.848

alpha_avg_power R2m: 0.0077, R2c: 0.9521

beta_avg_power R2m: 0.0754, R2c: 0.9755

theta_div_beta R2m: 0.0096, R2c: 0.0096

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.96 (0.60 to 1.3)	<0.001	<0.001	1.1 (0.20 to 2.0)	0.017	0.068	1.5 (0.68 to 2.3)	<0.001	0.001	-3.6 (-11 to 3.9)	0.35	0.82
mean_StepDur_cov	-0.01 (-0.05 to 0.02)	0.35	0.57	0.03 (-0.01 to 0.07)	0.19	0.38	0.02 (-0.01 to 0.05)	0.23	0.31	0.51 (-0.82 to 1.8)	0.45	0.82
group_char		0.44	0.57		0.77	0.77		0.13	0.26		0.61	0.82
H1000’s	—			—			—			—
H2000’s	-0.23 (-0.78 to 0.33)			0.07 (-1.3 to 1.4)			0.62 (-0.57 to 1.8)			5.5 (-5.9 to 17)
H3000’s	-0.35 (-0.88 to 0.19)			0.44 (-0.84 to 1.7)			1.2 (0.03 to 2.3)			3.9 (-7.6 to 15)
mean_StepDur_cov * group_char		0.57	0.57		0.65	0.77		0.83	0.83		0.85	0.85
mean_StepDur_cov * H2000’s	-0.01 (-0.06 to 0.04)			-0.03 (-0.10 to 0.04)			0.00 (-0.05 to 0.04)			-0.44 (-2.4 to 1.5)
mean_StepDur_cov * H3000’s	-0.03 (-0.08 to 0.02)			-0.02 (-0.09 to 0.05)			0.01 (-0.03 to 0.06)			-0.52 (-2.5 to 1.5)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0676, R2c: 0.8488

alpha_avg_power R2m: 0.0076, R2c: 0.952

beta_avg_power R2m: 0.0744, R2c: 0.9751

theta_div_beta R2m: 0.0096, R2c: 0.0096

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.62 to 1.4)	<0.001	<0.001	1.1 (0.23 to 2.1)	0.014	0.056	1.4 (0.64 to 2.2)	<0.001	0.002	-1.5 (-9.9 to 7.0)	0.73	0.99
mean_UDexc_COV	-0.01 (-0.02 to 0.01)	0.21	0.42	0.01 (-0.01 to 0.03)	0.41	0.82	0.01 (0.00 to 0.02)	0.10	0.16	0.04 (-0.59 to 0.66)	0.91	0.99
group_char		0.38	0.50		0.77	0.82		0.12	0.16		0.86	0.99
H1000’s	—			—			—			—
H2000’s	-0.17 (-0.73 to 0.39)			0.02 (-1.3 to 1.4)			0.63 (-0.57 to 1.8)			3.5 (-8.7 to 16)
H3000’s	-0.38 (-0.92 to 0.16)			0.42 (-0.86 to 1.7)			1.2 (0.06 to 2.3)			1.9 (-11 to 14)
mean_UDexc_COV * group_char		0.69	0.69		0.82	0.82		0.94	0.94		0.99	0.99
mean_UDexc_COV * H2000’s	-0.01 (-0.03 to 0.01)			-0.01 (-0.04 to 0.02)			0.00 (-0.02 to 0.02)			-0.02 (-0.88 to 0.85)
mean_UDexc_COV * H3000’s	-0.01 (-0.03 to 0.01)			-0.01 (-0.04 to 0.02)			0.00 (-0.02 to 0.02)			-0.05 (-0.92 to 0.83)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0706, R2c: 0.8527

alpha_avg_power R2m: 0.0073, R2c: 0.9517

beta_avg_power R2m: 0.0748, R2c: 0.9755

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.77 (0.37 to 1.2)	<0.001	<0.001	1.3 (0.41 to 2.3)	0.005	0.019	1.7 (0.89 to 2.5)	<0.001	<0.001	-0.68 (-10 to 8.9)	0.89	0.98
mean_UDexc_mean	5.1 (-3.9 to 14)	0.27	0.36	-3.7 (-16 to 9.0)	0.57	0.69	-5.6 (-14 to 2.6)	0.18	0.18	-14 (-397 to 369)	0.94	0.98
group_char		0.087	0.17		0.69	0.69		0.044	0.088		0.98	0.98
H1000’s	—			—			—			—
H2000’s	-0.48 (-1.1 to 0.11)			-0.29 (-1.7 to 1.1)			0.56 (-0.65 to 1.8)			-0.41 (-14 to 14)
H3000’s	-0.59 (-1.1 to -0.04)			0.31 (-0.98 to 1.6)			1.4 (0.30 to 2.6)			0.81 (-12 to 14)
mean_UDexc_mean * group_char		0.52	0.52		0.57	0.69		0.15	0.18		0.84	0.98
mean_UDexc_mean * H2000’s	7.4 (-5.2 to 20)			8.4 (-9.3 to 26)			2.9 (-8.5 to 14)			145 (-388 to 679)
mean_UDexc_mean * H3000’s	3.6 (-8.8 to 16)			0.64 (-17 to 18)			-7.8 (-19 to 3.5)			21 (-493 to 535)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0716, R2c: 0.8539

alpha_avg_power R2m: 0.0075, R2c: 0.9518

beta_avg_power R2m: 0.0757, R2c: 0.9762

theta_div_beta R2m: 0.0092, R2c: 0.0092

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.65 to 1.4)	<0.001	<0.001	1.1 (0.21 to 2.0)	0.016	0.063	1.5 (0.69 to 2.3)	<0.001	0.001	-2.5 (-10 to 5.5)	0.54	0.70
mean_StanceDur	-0.10 (-0.23 to 0.03)	0.14	0.28	0.11 (-0.07 to 0.29)	0.25	0.50	0.07 (-0.05 to 0.19)	0.24	0.25	1.2 (-4.6 to 7.0)	0.70	0.70
group_char		0.26	0.28		0.90	0.90		0.18	0.25		0.45	0.70
H1000’s	—			—			—			—
H2000’s	-0.09 (-0.65 to 0.48)			0.03 (-1.3 to 1.4)			0.52 (-0.68 to 1.7)			8.7 (-4.8 to 22)
H3000’s	-0.43 (-0.97 to 0.11)			0.28 (-1.0 to 1.6)			1.1 (-0.06 to 2.2)			3.1 (-9.7 to 16)
mean_StanceDur * group_char		0.28	0.28		0.78	0.90		0.25	0.25		0.69	0.70
mean_StanceDur * H2000’s	-0.20 (-0.46 to 0.06)			-0.09 (-0.44 to 0.27)			0.11 (-0.13 to 0.34)			-5.0 (-16 to 6.4)
mean_StanceDur * H3000’s	-0.11 (-0.39 to 0.17)			0.08 (-0.31 to 0.47)			0.21 (-0.05 to 0.46)			-1.5 (-13 to 10)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0714, R2c: 0.8479

alpha_avg_power R2m: 0.0078, R2c: 0.9521

beta_avg_power R2m: 0.0754, R2c: 0.9756

theta_div_beta R2m: 0.0103, R2c: 0.0103

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.65 to 1.4)	<0.001	<0.001	1.1 (0.17 to 2.0)	0.020	0.082	1.5 (0.66 to 2.3)	<0.001	0.001	-2.9 (-12 to 6.6)	0.55	0.75
mean_GaitCycleDur	-0.08 (-0.19 to 0.03)	0.15	0.28	0.09 (-0.06 to 0.24)	0.26	0.51	0.06 (-0.04 to 0.16)	0.23	0.29	1.0 (-3.8 to 5.9)	0.67	0.75
group_char		0.32	0.32		0.91	0.91		0.21	0.29		0.54	0.75
H1000’s	—			—			—			—
H2000’s	-0.01 (-0.61 to 0.60)			0.08 (-1.3 to 1.5)			0.51 (-0.71 to 1.7)			9.2 (-7.2 to 26)
H3000’s	-0.41 (-0.99 to 0.17)			0.28 (-1.0 to 1.6)			1.0 (-0.11 to 2.2)			3.7 (-12 to 19)
mean_GaitCycleDur * group_char		0.21	0.28		0.76	0.91		0.29	0.29		0.75	0.75
mean_GaitCycleDur * H2000’s	-0.19 (-0.41 to 0.03)			-0.08 (-0.39 to 0.22)			0.09 (-0.11 to 0.29)			-3.7 (-13 to 6.0)
mean_GaitCycleDur * H3000’s	-0.09 (-0.33 to 0.14)			0.06 (-0.27 to 0.40)			0.17 (-0.06 to 0.39)			-1.4 (-11 to 8.3)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0724, R2c: 0.8479

alpha_avg_power R2m: 0.0077, R2c: 0.9521

beta_avg_power R2m: 0.0754, R2c: 0.9755

theta_div_beta R2m: 0.0095, R2c: 0.0095

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.79 (0.43 to 1.2)	<0.001	<0.001	1.3 (0.42 to 2.2)	0.004	0.017	1.7 (0.88 to 2.5)	<0.001	<0.001	-1.2 (-8.9 to 6.6)	0.77	0.97
mean_PeakUpDownVel_mean	0.40 (-0.27 to 1.1)	0.24	0.32	-0.31 (-1.2 to 0.62)	0.52	0.68	-0.42 (-1.0 to 0.19)	0.18	0.18	0.73 (-29 to 31)	0.96	0.97
group_char		0.077	0.15		0.68	0.68		0.049	0.10		0.97	0.97
H1000’s	—			—			—			—
H2000’s	-0.45 (-1.0 to 0.09)			-0.24 (-1.6 to 1.1)			0.57 (-0.62 to 1.8)			1.2 (-10 to 13)
H3000’s	-0.57 (-1.1 to -0.05)			0.34 (-0.92 to 1.6)			1.4 (0.28 to 2.5)			1.2 (-9.6 to 12)
mean_PeakUpDownVel_mean * group_char		0.42	0.42		0.52	0.68		0.17	0.18		0.92	0.97
mean_PeakUpDownVel_mean * H2000’s	0.62 (-0.32 to 1.6)			0.63 (-0.68 to 1.9)			0.24 (-0.62 to 1.1)			7.6 (-34 to 49)
mean_PeakUpDownVel_mean * H3000’s	0.20 (-0.70 to 1.1)			-0.04 (-1.3 to 1.2)			-0.53 (-1.4 to 0.29)			0.39 (-39 to 40)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.072, R2c: 0.8526

alpha_avg_power R2m: 0.0076, R2c: 0.9518

beta_avg_power R2m: 0.076, R2c: 0.9759

theta_div_beta R2m: 0.0085, R2c: 0.0085

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.42 (0.07 to 0.76)	0.018	0.071	2.4 (1.2 to 3.7)	<0.001	<0.001	2.3 (1.6 to 3.1)	<0.001	<0.001	1.0 (-1.3 to 3.3)	0.38	0.89
mean_APexc_COV	0.00 (-0.01 to 0.02)	0.73	0.97	0.01 (-0.04 to 0.05)	0.79	0.79	0.01 (-0.02 to 0.03)	0.69	0.77	-0.04 (-0.18 to 0.10)	0.58	0.89
group_char		0.19	0.39		0.68	0.79		0.29	0.58		0.85	0.89
H1000’s	—			—			—			—
H2000’s	-0.51 (-1.2 to 0.15)			-0.81 (-3.1 to 1.4)			0.67 (-0.72 to 2.1)			-1.1 (-5.2 to 2.9)
H3000’s	-0.37 (-0.86 to 0.12)			-0.67 (-2.4 to 1.1)			0.87 (-0.25 to 2.0)			-0.62 (-3.7 to 2.5)
mean_APexc_COV * group_char		0.99	0.99		0.67	0.79		0.77	0.77		0.89	0.89
mean_APexc_COV * H2000’s	0.00 (-0.02 to 0.03)			0.02 (-0.06 to 0.09)			0.00 (-0.04 to 0.04)			0.05 (-0.15 to 0.25)
mean_APexc_COV * H3000’s	0.00 (-0.02 to 0.02)			0.02 (-0.03 to 0.08)			0.01 (-0.02 to 0.04)			0.03 (-0.13 to 0.19)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.7 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.70 (NA to NA)			0.40 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0707, R2c: 0.8846

alpha_avg_power R2m: 0.0074, R2c: 0.9344

beta_avg_power R2m: 0.0768, R2c: 0.9532

theta_div_beta R2m: 0.0041, R2c: 0.1988

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.60 (0.30 to 0.91)	<0.001	<0.001	2.2 (1.0 to 3.3)	<0.001	<0.001	2.0 (1.3 to 2.8)	<0.001	<0.001	1.6 (-0.26 to 3.5)	0.091	0.34
mean_APexc_mean	-2.6 (-5.8 to 0.61)	0.11	0.15	6.1 (-3.5 to 16)	0.21	0.43	7.4 (2.0 to 13)	0.007	0.015	-22 (-54 to 9.6)	0.17	0.34
group_char		0.15	0.15		0.83	0.83		0.066	0.088		0.47	0.63
H1000’s	—			—			—			—
H2000’s	-0.27 (-0.75 to 0.22)			-0.55 (-2.4 to 1.3)			0.73 (-0.46 to 1.9)			-1.3 (-4.1 to 1.4)
H3000’s	-0.43 (-0.86 to 0.00)			-0.30 (-1.9 to 1.3)			1.2 (0.19 to 2.3)			-1.5 (-3.9 to 1.0)
mean_APexc_mean * group_char		0.13	0.15		0.53	0.70		0.99	0.99		0.63	0.63
mean_APexc_mean * H2000’s	-4.2 (-9.6 to 1.1)			3.5 (-12 to 20)			0.77 (-8.2 to 9.8)			18 (-34 to 70)
mean_APexc_mean * H3000’s	1.6 (-3.6 to 6.8)			8.9 (-6.5 to 24)			0.31 (-8.3 to 9.0)			22 (-26 to 70)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.39 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0771, R2c: 0.8912

alpha_avg_power R2m: 0.0083, R2c: 0.9364

beta_avg_power R2m: 0.0784, R2c: 0.957

theta_div_beta R2m: 0.0091, R2c: 0.2007

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.21 (-0.11 to 0.53)	0.20	0.27	2.4 (1.2 to 3.6)	<0.001	<0.001	2.6 (1.8 to 3.3)	<0.001	<0.001	0.66 (-1.2 to 2.5)	0.49	0.88
mean_MLexc_COV	0.02 (0.00 to 0.03)	0.017	0.069	0.01 (-0.04 to 0.06)	0.70	0.91	-0.01 (-0.04 to 0.02)	0.51	0.51	-0.02 (-0.15 to 0.11)	0.76	0.88
group_char		0.090	0.18		0.91	0.91		0.057	0.11		0.78	0.88
H1000’s	—			—			—			—
H2000’s	-0.55 (-1.0 to -0.05)			0.21 (-1.7 to 2.1)			1.1 (-0.06 to 2.3)			-0.98 (-3.7 to 1.8)
H3000’s	-0.30 (-0.75 to 0.15)			-0.19 (-1.9 to 1.5)			1.2 (0.12 to 2.3)			-0.59 (-3.2 to 2.0)
mean_MLexc_COV * group_char		0.64	0.64		0.13	0.27		0.17	0.22		0.88	0.88
mean_MLexc_COV * H2000’s	0.01 (-0.01 to 0.03)			-0.05 (-0.11 to 0.02)			-0.03 (-0.07 to 0.01)			0.05 (-0.13 to 0.23)
mean_MLexc_COV * H3000’s	0.00 (-0.02 to 0.02)			0.01 (-0.05 to 0.07)			0.00 (-0.04 to 0.03)			0.02 (-0.15 to 0.20)
subj_char.sd__(Intercept)	0.63 (NA to NA)			2.6 (NA to NA)			1.7 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.70 (NA to NA)			0.39 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0878, R2c: 0.8959

alpha_avg_power R2m: 0.0064, R2c: 0.9337

beta_avg_power R2m: 0.079, R2c: 0.9549

theta_div_beta R2m: 0.0037, R2c: 0.1895

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.62 (0.32 to 0.92)	<0.001	<0.001	2.3 (1.2 to 3.5)	<0.001	<0.001	2.1 (1.4 to 2.8)	<0.001	<0.001	1.3 (-0.39 to 3.0)	0.13	0.51
mean_MLexc_mean	-1.9 (-3.8 to 0.00)	0.050	0.10	2.4 (-3.4 to 8.1)	0.42	0.59	4.0 (0.81 to 7.1)	0.014	0.027	-11 (-30 to 7.8)	0.25	0.51
group_char		0.22	0.29		0.67	0.67		0.15	0.20		0.58	0.69
H1000’s	—			—			—			—
H2000’s	-0.31 (-0.78 to 0.15)			-0.81 (-2.6 to 0.98)			0.59 (-0.57 to 1.7)			-1.0 (-3.4 to 1.4)
H3000’s	-0.34 (-0.76 to 0.07)			-0.42 (-2.0 to 1.2)			1.0 (-0.01 to 2.0)			-1.1 (-3.3 to 1.1)
mean_MLexc_mean * group_char		0.41	0.41		0.44	0.59		0.74	0.74		0.69	0.69
mean_MLexc_mean * H2000’s	-1.3 (-3.8 to 1.3)			3.8 (-3.8 to 11)			0.95 (-3.2 to 5.1)			8.6 (-16 to 33)
mean_MLexc_mean * H3000’s	0.25 (-2.3 to 2.8)			4.8 (-2.8 to 12)			1.7 (-2.5 to 5.8)			10 (-14 to 35)
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0809, R2c: 0.898

alpha_avg_power R2m: 0.01, R2c: 0.9373

beta_avg_power R2m: 0.0822, R2c: 0.9603

theta_div_beta R2m: 0.0076, R2c: 0.1999

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.62 (0.34 to 0.90)	<0.001	<0.001	2.2 (1.1 to 3.3)	<0.001	<0.001	2.1 (1.4 to 2.8)	<0.001	<0.001	1.2 (-0.27 to 2.8)	0.11	0.43
mean_StepDur	-0.17 (-0.32 to -0.03)	0.017	0.034	0.36 (-0.07 to 0.79)	0.10	0.19	0.38 (0.14 to 0.61)	0.002	0.003	-0.94 (-2.5 to 0.57)	0.22	0.44
group_char		0.27	0.27		0.66	0.66		0.18	0.18		0.66	0.83
H1000’s	—			—			—			—
H2000’s	-0.25 (-0.72 to 0.22)			-0.84 (-2.6 to 0.97)			0.47 (-0.70 to 1.6)			-0.88 (-3.6 to 1.9)
H3000’s	-0.34 (-0.76 to 0.09)			-0.38 (-2.0 to 1.2)			0.98 (-0.06 to 2.0)			-1.1 (-3.6 to 1.4)
mean_StepDur * group_char		0.19	0.26		0.25	0.34		0.18	0.18		0.83	0.83
mean_StepDur * H2000’s	-0.27 (-0.57 to 0.02)			0.56 (-0.33 to 1.5)			0.36 (-0.12 to 0.85)			0.56 (-2.6 to 3.7)
mean_StepDur * H3000’s	-0.03 (-0.35 to 0.28)			0.65 (-0.29 to 1.6)			0.38 (-0.14 to 0.89)			0.91 (-2.2 to 4.1)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0787, R2c: 0.8938

alpha_avg_power R2m: 0.0084, R2c: 0.9374

beta_avg_power R2m: 0.08, R2c: 0.9598

theta_div_beta R2m: 0.0076, R2c: 0.1894

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.57 (0.30 to 0.84)	<0.001	<0.001	2.4 (1.3 to 3.4)	<0.001	<0.001	2.3 (1.6 to 3.0)	<0.001	<0.001	1.4 (0.24 to 2.6)	0.018	0.073
mean_StepDur_cov	-0.02 (-0.04 to 0.00)	0.028	0.057	0.03 (-0.02 to 0.09)	0.26	0.51	0.03 (0.00 to 0.07)	0.049	0.10	-0.20 (-0.39 to -0.01)	0.041	0.082
group_char		0.084	0.11		0.79	0.79		0.18	0.24		0.31	0.36
H1000’s	—			—			—			—
H2000’s	-0.40 (-0.84 to 0.05)			-0.60 (-2.3 to 1.1)			0.65 (-0.49 to 1.8)			-1.2 (-3.1 to 0.76)
H3000’s	-0.40 (-0.81 to 0.00)			-0.35 (-1.9 to 1.2)			0.94 (-0.08 to 2.0)			-1.3 (-3.3 to 0.65)
mean_StepDur_cov * group_char		0.47	0.47		0.50	0.67		0.40	0.40		0.36	0.36
mean_StepDur_cov * H2000’s	-0.01 (-0.04 to 0.03)			0.03 (-0.07 to 0.12)			0.01 (-0.05 to 0.06)			0.17 (-0.14 to 0.48)
mean_StepDur_cov * H3000’s	0.02 (-0.02 to 0.05)			0.06 (-0.04 to 0.16)			0.04 (-0.02 to 0.10)			0.21 (-0.12 to 0.54)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.7 (NA to NA)			1.8 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.39 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0742, R2c: 0.8923

alpha_avg_power R2m: 0.0073, R2c: 0.9366

beta_avg_power R2m: 0.0767, R2c: 0.9579

theta_div_beta R2m: 0.0172, R2c: 0.1869

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.58 (0.30 to 0.85)	<0.001	<0.001	2.4 (1.3 to 3.5)	<0.001	<0.001	2.2 (1.5 to 2.9)	<0.001	<0.001	1.2 (-0.09 to 2.6)	0.067	0.27
mean_UDexc_COV	-0.01 (-0.02 to 0.00)	0.056	0.11	0.01 (-0.02 to 0.04)	0.59	0.71	0.02 (0.00 to 0.03)	0.033	0.066	-0.07 (-0.16 to 0.02)	0.15	0.30
group_char		0.13	0.17		0.71	0.71		0.23	0.29		0.48	0.57
H1000’s	—			—			—			—
H2000’s	-0.39 (-0.83 to 0.05)			-0.70 (-2.5 to 1.0)			0.61 (-0.54 to 1.7)			-1.1 (-3.1 to 1.0)
H3000’s	-0.35 (-0.76 to 0.05)			-0.44 (-2.0 to 1.1)			0.88 (-0.14 to 1.9)			-1.1 (-3.2 to 0.97)
mean_UDexc_COV * group_char		0.69	0.69		0.35	0.71		0.29	0.29		0.57	0.57
mean_UDexc_COV * H2000’s	0.00 (-0.02 to 0.01)			0.02 (-0.02 to 0.06)			0.01 (-0.02 to 0.03)			0.06 (-0.08 to 0.20)
mean_UDexc_COV * H3000’s	0.00 (-0.01 to 0.02)			0.03 (-0.01 to 0.07)			0.02 (0.00 to 0.04)			0.07 (-0.07 to 0.21)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.7 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0748, R2c: 0.8916

alpha_avg_power R2m: 0.0073, R2c: 0.9369

beta_avg_power R2m: 0.0794, R2c: 0.9595

theta_div_beta R2m: 0.0097, R2c: 0.1898

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.30 (0.02 to 0.58)	0.039	0.077	2.6 (1.5 to 3.7)	<0.001	<0.001	2.7 (2.0 to 3.4)	<0.001	<0.001	-0.48 (-2.0 to 1.0)	0.53	0.84
mean_UDexc_mean	6.7 (1.2 to 12)	0.016	0.066	-1.7 (-18 to 15)	0.84	0.84	-11 (-20 to -2.2)	0.014	0.023	36 (-20 to 93)	0.21	0.83
group_char		0.069	0.092		0.83	0.84		0.017	0.023		0.84	0.84
H1000’s	—			—			—			—
H2000’s	-0.53 (-0.99 to -0.07)			0.03 (-1.7 to 1.8)			0.92 (-0.24 to 2.1)			0.34 (-2.0 to 2.7)
H3000’s	-0.30 (-0.70 to 0.11)			0.45 (-1.1 to 2.0)			1.5 (0.45 to 2.5)			0.65 (-1.5 to 2.8)
mean_UDexc_mean * group_char		0.53	0.53		0.21	0.42		0.13	0.13		0.63	0.84
mean_UDexc_mean * H2000’s	3.6 (-5.1 to 12)			-20 (-46 to 6.6)			-8.9 (-23 to 4.9)			-28 (-116 to 60)
mean_UDexc_mean * H3000’s	-1.4 (-9.3 to 6.6)			-19 (-43 to 5.3)			-13 (-25 to 0.03)			-38 (-117 to 42)
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.7 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.36 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0775, R2c: 0.8968

alpha_avg_power R2m: 0.0076, R2c: 0.9368

beta_avg_power R2m: 0.082, R2c: 0.9625

theta_div_beta R2m: 0.008, R2c: 0.1975

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.59 (0.32 to 0.86)	<0.001	<0.001	2.3 (1.2 to 3.3)	<0.001	<0.001	2.2 (1.5 to 2.9)	<0.001	<0.001	1.1 (-0.16 to 2.4)	0.087	0.35
mean_StanceDur	-0.10 (-0.19 to -0.02)	0.019	0.037	0.21 (-0.04 to 0.47)	0.095	0.19	0.22 (0.08 to 0.36)	0.002	0.003	-0.59 (-1.5 to 0.30)	0.20	0.39
group_char		0.20	0.25		0.68	0.68		0.15	0.15		0.63	0.83
H1000’s	—			—			—			—
H2000’s	-0.30 (-0.75 to 0.15)			-0.78 (-2.5 to 0.98)			0.51 (-0.63 to 1.7)			-0.83 (-3.1 to 1.5)
H3000’s	-0.34 (-0.74 to 0.06)			-0.34 (-1.9 to 1.2)			1.0 (-0.01 to 2.0)			-0.93 (-3.1 to 1.2)
mean_StanceDur * group_char		0.25	0.25		0.19	0.26		0.15	0.15		0.83	0.83
mean_StanceDur * H2000’s	-0.15 (-0.33 to 0.03)			0.36 (-0.17 to 0.88)			0.22 (-0.07 to 0.51)			0.38 (-1.5 to 2.2)
mean_StanceDur * H3000’s	-0.02 (-0.20 to 0.16)			0.42 (-0.13 to 0.96)			0.24 (-0.06 to 0.54)			0.53 (-1.4 to 2.4)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.68 (NA to NA)			0.37 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0778, R2c: 0.8934

alpha_avg_power R2m: 0.0086, R2c: 0.9376

beta_avg_power R2m: 0.08, R2c: 0.96

theta_div_beta R2m: 0.0081, R2c: 0.1883

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.62 (0.34 to 0.90)	<0.001	<0.001	2.2 (1.1 to 3.3)	<0.001	<0.001	2.1 (1.4 to 2.8)	<0.001	<0.001	1.2 (-0.27 to 2.7)	0.11	0.43
mean_GaitCycleDur	-0.09 (-0.16 to -0.02)	0.017	0.035	0.18 (-0.03 to 0.39)	0.095	0.19	0.19 (0.07 to 0.31)	0.001	0.003	-0.47 (-1.2 to 0.29)	0.22	0.45
group_char		0.27	0.27		0.67	0.67		0.18	0.19		0.66	0.83
H1000’s	—			—			—			—
H2000’s	-0.25 (-0.72 to 0.22)			-0.83 (-2.6 to 0.98)			0.47 (-0.70 to 1.6)			-0.87 (-3.6 to 1.9)
H3000’s	-0.34 (-0.76 to 0.09)			-0.38 (-2.0 to 1.2)			0.98 (-0.06 to 2.0)			-1.1 (-3.6 to 1.4)
mean_GaitCycleDur * group_char		0.20	0.26		0.26	0.34		0.19	0.19		0.83	0.83
mean_GaitCycleDur * H2000’s	-0.14 (-0.28 to 0.01)			0.28 (-0.17 to 0.72)			0.18 (-0.06 to 0.42)			0.28 (-1.3 to 1.8)
mean_GaitCycleDur * H3000’s	-0.02 (-0.18 to 0.14)			0.32 (-0.15 to 0.79)			0.19 (-0.07 to 0.44)			0.45 (-1.1 to 2.0)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0787, R2c: 0.8938

alpha_avg_power R2m: 0.0084, R2c: 0.9374

beta_avg_power R2m: 0.0799, R2c: 0.9598

theta_div_beta R2m: 0.0075, R2c: 0.1893

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.34 (0.08 to 0.61)	0.012	0.036	2.6 (1.5 to 3.6)	<0.001	<0.001	2.6 (1.9 to 3.3)	<0.001	<0.001	-0.49 (-1.7 to 0.74)	0.44	0.61
mean_PeakUpDownVel_mean	0.50 (0.08 to 0.91)	0.018	0.036	-0.18 (-1.4 to 1.1)	0.77	0.83	-0.80 (-1.5 to -0.14)	0.018	0.027	3.7 (-0.65 to 8.1)	0.10	0.38
group_char		0.036	0.049		0.83	0.83		0.020	0.027		0.79	0.79
H1000’s	—			—			—			—
H2000’s	-0.55 (-0.98 to -0.11)			-0.07 (-1.8 to 1.7)			0.92 (-0.21 to 2.0)			0.36 (-1.6 to 2.3)
H3000’s	-0.35 (-0.73 to 0.04)			0.40 (-1.1 to 1.9)			1.4 (0.40 to 2.4)			0.62 (-1.1 to 2.4)
mean_PeakUpDownVel_mean * group_char		0.49	0.49		0.17	0.33		0.16	0.16		0.46	0.61
mean_PeakUpDownVel_mean * H2000’s	0.37 (-0.27 to 1.0)			-1.4 (-3.4 to 0.52)			-0.78 (-1.8 to 0.26)			-2.9 (-9.7 to 3.8)
mean_PeakUpDownVel_mean * H3000’s	0.04 (-0.55 to 0.62)			-1.6 (-3.3 to 0.19)			-0.84 (-1.8 to 0.11)			-3.7 (-9.8 to 2.3)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0798, R2c: 0.8979

alpha_avg_power R2m: 0.008, R2c: 0.9373

beta_avg_power R2m: 0.0821, R2c: 0.9617

theta_div_beta R2m: 0.0115, R2c: 0.2004

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.36 (0.04 to 0.68)	0.028	0.11	3.2 (2.1 to 4.3)	<0.001	<0.001	2.3 (1.6 to 3.0)	<0.001	<0.001	-0.04 (-1.1 to 1.0)	0.94	0.94
mean_APexc_COV	0.00 (-0.01 to 0.02)	0.60	0.60	0.02 (-0.02 to 0.05)	0.38	0.53	0.00 (-0.02 to 0.02)	0.83	0.99	0.03 (-0.04 to 0.09)	0.38	0.84
group_char		0.21	0.42		0.40	0.53		0.20	0.41		0.65	0.87
H1000’s	—			—			—			—
H2000’s	-0.07 (-0.60 to 0.46)			-0.15 (-1.9 to 1.6)			0.37 (-0.74 to 1.5)			-0.08 (-1.8 to 1.7)
H3000’s	-0.41 (-0.88 to 0.06)			-1.0 (-2.6 to 0.55)			0.93 (-0.09 to 2.0)			0.57 (-0.84 to 2.0)
mean_APexc_COV * group_char		0.53	0.60		0.56	0.56		0.99	0.99		0.42	0.84
mean_APexc_COV * H2000’s	-0.01 (-0.03 to 0.01)			-0.02 (-0.07 to 0.03)			0.00 (-0.03 to 0.03)			-0.01 (-0.10 to 0.08)
mean_APexc_COV * H3000’s	0.00 (-0.02 to 0.02)			0.01 (-0.04 to 0.05)			0.00 (-0.03 to 0.03)			-0.04 (-0.12 to 0.03)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.16 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.56 (NA to NA)			0.34 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0645, R2c: 0.8238

alpha_avg_power R2m: 0.0184, R2c: 0.9498

beta_avg_power R2m: 0.0596, R2c: 0.9584

theta_div_beta R2m: 0.0147, R2c: 0.0297

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.44 (0.17 to 0.71)	0.002	0.006	2.9 (1.9 to 4.0)	<0.001	<0.001	2.1 (1.4 to 2.8)	<0.001	<0.001	0.22 (-0.66 to 1.1)	0.63	0.86
mean_APexc_mean	-0.20 (-3.5 to 3.1)	0.91	0.91	8.9 (1.8 to 16)	0.014	0.029	4.3 (-0.06 to 8.6)	0.053	0.11	3.6 (-12 to 19)	0.64	0.86
group_char		0.19	0.39		0.39	0.39		0.26	0.26		0.91	0.91
H1000’s	—			—			—			—
H2000’s	-0.22 (-0.63 to 0.19)			-0.52 (-2.1 to 1.0)			0.22 (-0.79 to 1.2)			0.20 (-1.0 to 1.4)
H3000’s	-0.37 (-0.77 to 0.03)			-1.1 (-2.5 to 0.44)			0.79 (-0.18 to 1.7)			0.25 (-0.91 to 1.4)
mean_APexc_mean * group_char		0.88	0.91		0.28	0.37		0.22	0.26		0.61	0.86
mean_APexc_mean * H2000’s	-0.80 (-6.2 to 4.6)			3.1 (-8.5 to 15)			5.0 (-2.0 to 12)			-7.3 (-31 to 16)
mean_APexc_mean * H3000’s	0.85 (-5.0 to 6.8)			11 (-2.3 to 23)			5.7 (-2.1 to 13)			-12 (-35 to 12)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.17 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0622, R2c: 0.8237

alpha_avg_power R2m: 0.0237, R2c: 0.956

beta_avg_power R2m: 0.0638, R2c: 0.9637

theta_div_beta R2m: 0.0126, R2c: 0.0312

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.10 (-0.19 to 0.38)	0.52	0.69	3.3 (2.2 to 4.3)	<0.001	<0.001	2.4 (1.7 to 3.0)	<0.001	<0.001	-0.05 (-0.77 to 0.66)	0.88	0.88
mean_MLexc_COV	0.02 (0.01 to 0.04)	0.001	0.006	0.01 (-0.02 to 0.05)	0.50	0.58	0.00 (-0.02 to 0.02)	0.78	0.80	0.03 (-0.01 to 0.08)	0.17	0.65
group_char		0.81	0.81		0.58	0.58		0.15	0.29		0.48	0.65
H1000’s	—			—			—			—
H2000’s	0.05 (-0.37 to 0.47)			-0.05 (-1.6 to 1.5)			0.53 (-0.49 to 1.5)			0.53 (-0.57 to 1.6)
H3000’s	-0.09 (-0.50 to 0.32)			-0.74 (-2.3 to 0.79)			0.98 (0.00 to 2.0)			-0.16 (-1.3 to 0.95)
mean_MLexc_COV * group_char		0.11	0.23		0.39	0.58		0.80	0.80		0.41	0.65
mean_MLexc_COV * H2000’s	-0.02 (-0.04 to 0.00)			-0.03 (-0.08 to 0.02)			-0.01 (-0.04 to 0.02)			-0.05 (-0.12 to 0.03)
mean_MLexc_COV * H3000’s	-0.02 (-0.04 to 0.00)			0.00 (-0.05 to 0.05)			0.00 (-0.03 to 0.03)			-0.01 (-0.08 to 0.07)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.12 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.56 (NA to NA)			0.34 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0789, R2c: 0.8333

alpha_avg_power R2m: 0.0174, R2c: 0.9499

beta_avg_power R2m: 0.0601, R2c: 0.9587

theta_div_beta R2m: 0.0191, R2c: 0.0279

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.57 (0.30 to 0.84)	<0.001	<0.001	3.2 (2.2 to 4.2)	<0.001	<0.001	2.2 (1.5 to 2.9)	<0.001	<0.001	0.25 (-0.51 to 1.0)	0.51	0.89
mean_MLexc_mean	-1.7 (-3.9 to 0.49)	0.13	0.17	2.9 (-2.0 to 7.8)	0.24	0.28	1.7 (-1.2 to 4.6)	0.26	0.35	2.0 (-7.0 to 11)	0.66	0.89
group_char		0.056	0.11		0.28	0.28		0.35	0.35		0.94	0.94
H1000’s	—			—			—			—
H2000’s	-0.29 (-0.68 to 0.10)			-0.52 (-2.1 to 1.0)			0.27 (-0.72 to 1.3)			0.06 (-1.0 to 1.1)
H3000’s	-0.46 (-0.84 to -0.08)			-1.2 (-2.7 to 0.27)			0.70 (-0.25 to 1.7)			0.17 (-0.84 to 1.2)
mean_MLexc_mean * group_char		0.51	0.51		0.17	0.28		0.31	0.35		0.66	0.89
mean_MLexc_mean * H2000’s	0.62 (-2.2 to 3.4)			0.30 (-5.9 to 6.5)			1.2 (-2.5 to 4.9)			-2.7 (-14 to 9.0)
mean_MLexc_mean * H3000’s	1.6 (-1.2 to 4.5)			5.1 (-1.3 to 12)			2.9 (-0.89 to 6.8)			-5.3 (-17 to 6.2)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.18 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)			1.2 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0653, R2c: 0.8279

alpha_avg_power R2m: 0.0221, R2c: 0.9538

beta_avg_power R2m: 0.0632, R2c: 0.9634

theta_div_beta R2m: 0.0121, R2c: 0.0328

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.45 (0.21 to 0.69)	<0.001	0.001	3.0 (2.0 to 4.0)	<0.001	<0.001	2.2 (1.5 to 2.8)	<0.001	<0.001	0.57 (-0.15 to 1.3)	0.12	0.49
mean_StepDur	-0.02 (-0.17 to 0.13)	0.78	0.78	0.47 (0.15 to 0.79)	0.004	0.009	0.19 (0.00 to 0.39)	0.051	0.068	-0.17 (-0.91 to 0.57)	0.65	0.96
group_char		0.32	0.64		0.27	0.27		0.51	0.51		0.96	0.96
H1000’s	—			—			—			—
H2000’s	-0.15 (-0.55 to 0.25)			-0.51 (-2.0 to 1.0)			0.22 (-0.77 to 1.2)			-0.17 (-1.4 to 1.1)
H3000’s	-0.30 (-0.69 to 0.09)			-1.2 (-2.7 to 0.26)			0.56 (-0.39 to 1.5)			-0.13 (-1.4 to 1.1)
mean_StepDur * group_char		0.70	0.78		0.10	0.13		0.018	0.036		0.95	0.96
mean_StepDur * H2000’s	-0.13 (-0.45 to 0.18)			0.15 (-0.52 to 0.83)			0.27 (-0.13 to 0.68)			-0.02 (-1.5 to 1.5)
mean_StepDur * H3000’s	-0.05 (-0.40 to 0.30)			0.84 (0.07 to 1.6)			0.64 (0.18 to 1.1)			-0.27 (-1.9 to 1.3)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0633, R2c: 0.8239

alpha_avg_power R2m: 0.0219, R2c: 0.9556

beta_avg_power R2m: 0.0634, R2c: 0.9636

theta_div_beta R2m: 0.0107, R2c: 0.0229

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.43 (0.21 to 0.66)	<0.001	<0.001	3.2 (2.2 to 4.2)	<0.001	<0.001	2.3 (1.7 to 2.9)	<0.001	<0.001	0.46 (-0.05 to 0.97)	0.079	0.32
mean_StepDur_cov	0.00 (-0.02 to 0.02)	0.96	0.96	0.04 (0.00 to 0.08)	0.051	0.10	0.01 (-0.02 to 0.04)	0.43	0.53	-0.01 (-0.10 to 0.08)	0.85	0.98
group_char		0.11	0.22		0.27	0.27		0.53	0.53		0.98	0.98
H1000’s	—			—			—			—
H2000’s	-0.22 (-0.58 to 0.14)			-0.54 (-2.0 to 0.95)			0.22 (-0.74 to 1.2)			-0.08 (-0.95 to 0.79)
H3000’s	-0.38 (-0.75 to -0.02)			-1.2 (-2.6 to 0.26)			0.54 (-0.39 to 1.5)			-0.01 (-1.0 to 1.0)
mean_StepDur_cov * group_char		0.78	0.96		0.19	0.25		0.010	0.020		0.86	0.98
mean_StepDur_cov * H2000’s	-0.01 (-0.04 to 0.03)			0.01 (-0.06 to 0.09)			0.03 (-0.01 to 0.08)			-0.02 (-0.16 to 0.13)
mean_StepDur_cov * H3000’s	0.01 (-0.03 to 0.05)			0.08 (-0.01 to 0.17)			0.08 (0.03 to 0.13)			-0.05 (-0.23 to 0.13)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.15 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0626, R2c: 0.8227

alpha_avg_power R2m: 0.0203, R2c: 0.9539

beta_avg_power R2m: 0.0632, R2c: 0.9624

theta_div_beta R2m: 0.0109, R2c: 0.0249

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.46 (0.23 to 0.70)	<0.001	<0.001	3.3 (2.3 to 4.2)	<0.001	<0.001	2.2 (1.6 to 2.9)	<0.001	<0.001	0.57 (-0.03 to 1.2)	0.063	0.25
mean_UDexc_COV	0.00 (-0.01 to 0.01)	0.60	0.60	0.01 (-0.01 to 0.03)	0.20	0.27	0.01 (0.00 to 0.02)	0.19	0.25	-0.01 (-0.06 to 0.03)	0.58	0.85
group_char		0.11	0.22		0.28	0.28		0.43	0.43		0.85	0.85
H1000’s	—			—			—			—
H2000’s	-0.18 (-0.54 to 0.18)			-0.44 (-1.9 to 1.1)			0.33 (-0.63 to 1.3)			-0.26 (-1.2 to 0.66)
H3000’s	-0.38 (-0.74 to -0.02)			-1.2 (-2.6 to 0.27)			0.61 (-0.31 to 1.5)			-0.07 (-1.0 to 0.90)
mean_UDexc_COV * group_char		0.51	0.60		0.17	0.27		0.054	0.11		0.84	0.85
mean_UDexc_COV * H2000’s	-0.01 (-0.02 to 0.01)			0.00 (-0.03 to 0.03)			0.01 (-0.01 to 0.02)			0.01 (-0.06 to 0.07)
mean_UDexc_COV * H3000’s	0.00 (-0.01 to 0.02)			0.03 (-0.01 to 0.06)			0.02 (0.00 to 0.04)			-0.01 (-0.08 to 0.05)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.13 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.55 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.064, R2c: 0.8248

alpha_avg_power R2m: 0.0195, R2c: 0.9526

beta_avg_power R2m: 0.0641, R2c: 0.9625

theta_div_beta R2m: 0.013, R2c: 0.0235

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.31 (0.06 to 0.56)	0.014	0.054	3.6 (2.6 to 4.6)	<0.001	<0.001	2.5 (1.8 to 3.1)	<0.001	<0.001	0.38 (-0.34 to 1.1)	0.30	0.71
mean_UDexc_mean	4.9 (-1.1 to 11)	0.11	0.22	-8.2 (-22 to 5.1)	0.22	0.30	-6.1 (-14 to 1.6)	0.12	0.12	1.4 (-27 to 29)	0.92	0.92
group_char		0.27	0.36		0.82	0.82		0.011	0.015		0.35	0.71
H1000’s	—			—			—			—
H2000’s	-0.27 (-0.65 to 0.10)			-0.49 (-2.0 to 1.0)			0.44 (-0.52 to 1.4)			-0.70 (-1.8 to 0.37)
H3000’s	-0.24 (-0.61 to 0.12)			-0.27 (-1.7 to 1.2)			1.4 (0.47 to 2.3)			-0.61 (-1.6 to 0.39)
mean_UDexc_mean * group_char		0.59	0.59		0.057	0.11		0.002	0.004		0.58	0.77
mean_UDexc_mean * H2000’s	0.77 (-7.9 to 9.4)			1.4 (-18 to 21)			-1.2 (-12 to 9.8)			21 (-19 to 62)
mean_UDexc_mean * H3000’s	-3.5 (-12 to 5.1)			-20 (-39 to -0.73)			-18 (-29 to -6.9)			14 (-25 to 53)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.09 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0668, R2c: 0.8274

alpha_avg_power R2m: 0.021, R2c: 0.9532

beta_avg_power R2m: 0.0683, R2c: 0.9645

theta_div_beta R2m: 0.0212, R2c: 0.0258

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.45 (0.22 to 0.68)	<0.001	<0.001	3.1 (2.1 to 4.0)	<0.001	<0.001	2.2 (1.6 to 2.8)	<0.001	<0.001	0.56 (-0.05 to 1.2)	0.070	0.28
mean_StanceDur	-0.01 (-0.10 to 0.08)	0.77	0.77	0.29 (0.10 to 0.48)	0.002	0.005	0.12 (0.00 to 0.23)	0.048	0.064	-0.12 (-0.56 to 0.32)	0.61	0.93
group_char		0.25	0.51		0.33	0.33		0.39	0.39		0.90	0.93
H1000’s	—			—			—			—
H2000’s	-0.17 (-0.54 to 0.20)			-0.44 (-1.9 to 1.1)			0.29 (-0.68 to 1.3)			-0.23 (-1.3 to 0.81)
H3000’s	-0.30 (-0.66 to 0.06)			-1.1 (-2.5 to 0.35)			0.65 (-0.28 to 1.6)			-0.15 (-1.2 to 0.89)
mean_StanceDur * group_char		0.70	0.77		0.12	0.16		0.022	0.044		0.93	0.93
mean_StanceDur * H2000’s	-0.08 (-0.26 to 0.11)			0.04 (-0.35 to 0.43)			0.13 (-0.10 to 0.37)			0.04 (-0.85 to 0.92)
mean_StanceDur * H3000’s	-0.04 (-0.24 to 0.17)			0.47 (0.02 to 0.91)			0.37 (0.10 to 0.64)			-0.17 (-1.1 to 0.80)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.13 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0633, R2c: 0.8239

alpha_avg_power R2m: 0.0217, R2c: 0.9555

beta_avg_power R2m: 0.0632, R2c: 0.9633

theta_div_beta R2m: 0.0109, R2c: 0.022

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.45 (0.21 to 0.69)	<0.001	0.001	3.0 (2.0 to 4.0)	<0.001	<0.001	2.2 (1.5 to 2.8)	<0.001	<0.001	0.57 (-0.15 to 1.3)	0.12	0.49
mean_GaitCycleDur	-0.01 (-0.09 to 0.06)	0.78	0.78	0.23 (0.07 to 0.39)	0.004	0.009	0.10 (0.00 to 0.19)	0.050	0.067	-0.09 (-0.46 to 0.29)	0.65	0.96
group_char		0.32	0.64		0.27	0.27		0.51	0.51		0.96	0.96
H1000’s	—			—			—			—
H2000’s	-0.15 (-0.55 to 0.25)			-0.51 (-2.0 to 1.0)			0.22 (-0.77 to 1.2)			-0.17 (-1.4 to 1.1)
H3000’s	-0.30 (-0.69 to 0.09)			-1.2 (-2.7 to 0.26)			0.56 (-0.39 to 1.5)			-0.13 (-1.4 to 1.1)
mean_GaitCycleDur * group_char		0.70	0.78		0.10	0.13		0.017	0.035		0.95	0.96
mean_GaitCycleDur * H2000’s	-0.07 (-0.22 to 0.09)			0.08 (-0.26 to 0.41)			0.14 (-0.07 to 0.34)			-0.01 (-0.76 to 0.73)
mean_GaitCycleDur * H3000’s	-0.03 (-0.20 to 0.15)			0.42 (0.04 to 0.80)			0.32 (0.09 to 0.55)			-0.13 (-0.93 to 0.66)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8238

alpha_avg_power R2m: 0.022, R2c: 0.9556

beta_avg_power R2m: 0.0635, R2c: 0.9636

theta_div_beta R2m: 0.0107, R2c: 0.0229

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.37 (0.14 to 0.60)	0.002	0.006	3.6 (2.6 to 4.6)	<0.001	<0.001	2.4 (1.8 to 3.1)	<0.001	<0.001	0.36 (-0.22 to 0.94)	0.23	0.73
mean_PeakUpDownVel_mean	0.26 (-0.18 to 0.70)	0.25	0.33	-0.67 (-1.6 to 0.30)	0.17	0.23	-0.46 (-1.0 to 0.10)	0.11	0.11	0.25 (-2.0 to 2.5)	0.83	0.83
group_char		0.13	0.26		0.83	0.83		0.017	0.023		0.37	0.73
H1000’s	—			—			—			—
H2000’s	-0.27 (-0.62 to 0.08)			-0.39 (-1.9 to 1.1)			0.49 (-0.46 to 1.4)			-0.54 (-1.4 to 0.34)
H3000’s	-0.32 (-0.65 to 0.02)			-0.38 (-1.8 to 1.0)			1.3 (0.41 to 2.2)			-0.52 (-1.4 to 0.31)
mean_PeakUpDownVel_mean * group_char		0.93	0.93		0.12	0.23		0.004	0.007		0.67	0.83
mean_PeakUpDownVel_mean * H2000’s	0.07 (-0.58 to 0.72)			-0.22 (-1.6 to 1.2)			-0.29 (-1.1 to 0.53)			1.4 (-1.8 to 4.6)
mean_PeakUpDownVel_mean * H3000’s	-0.06 (-0.70 to 0.58)			-1.4 (-2.8 to 0.01)			-1.3 (-2.1 to -0.52)			0.94 (-2.1 to 4.0)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.09 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0651, R2c: 0.8252

alpha_avg_power R2m: 0.0211, R2c: 0.954

beta_avg_power R2m: 0.0679, R2c: 0.9654

theta_div_beta R2m: 0.0202, R2c: 0.0253

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.45 (0.09 to 0.81)	0.015	0.061	3.8 (2.8 to 4.9)	<0.001	<0.001	2.3 (1.8 to 2.9)	<0.001	<0.001	0.61 (-0.93 to 2.1)	0.44	0.68
mean_APexc_COV	0.00 (-0.01 to 0.02)	0.54	0.63	0.01 (-0.03 to 0.04)	0.68	0.75	0.01 (-0.01 to 0.02)	0.53	0.53	-0.02 (-0.11 to 0.07)	0.65	0.68
group_char		0.47	0.63		0.75	0.75		0.40	0.53		0.62	0.68
H1000’s	—			—			—			—
H2000’s	-0.18 (-0.76 to 0.39)			-0.18 (-1.9 to 1.5)			0.47 (-0.41 to 1.3)			-1.2 (-3.6 to 1.2)
H3000’s	0.20 (-0.36 to 0.76)			-0.62 (-2.3 to 1.0)			-0.15 (-1.0 to 0.70)			-0.56 (-2.8 to 1.7)
mean_APexc_COV * group_char		0.63	0.63		0.75	0.75		0.092	0.18		0.68	0.68
mean_APexc_COV * H2000’s	0.00 (-0.02 to 0.02)			-0.01 (-0.06 to 0.04)			-0.01 (-0.03 to 0.01)			0.05 (-0.07 to 0.18)
mean_APexc_COV * H3000’s	-0.01 (-0.02 to 0.01)			0.01 (-0.04 to 0.05)			0.01 (-0.01 to 0.03)			0.04 (-0.07 to 0.16)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0151, R2c: 0.9331

alpha_avg_power R2m: 0.006, R2c: 0.9487

beta_avg_power R2m: 0.0116, R2c: 0.9518

theta_div_beta R2m: 0.0116, R2c: 0.0116

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.59 (0.26 to 0.93)	<0.001	0.002	3.9 (2.9 to 4.9)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.31 (-1.0 to 1.6)	0.65	0.86
mean_APexc_mean	-1.5 (-4.3 to 1.3)	0.30	0.60	1.4 (-5.9 to 8.8)	0.70	0.70	1.5 (-2.2 to 5.3)	0.42	0.56	-0.82 (-24 to 22)	0.94	0.94
group_char		0.54	0.72		0.61	0.70		0.96	0.96		0.16	0.32
H1000’s	—			—			—			—
H2000’s	-0.22 (-0.75 to 0.30)			-0.76 (-2.3 to 0.80)			0.06 (-0.76 to 0.88)			1.8 (-0.13 to 3.7)
H3000’s	0.08 (-0.43 to 0.59)			-0.51 (-2.0 to 1.0)			0.12 (-0.68 to 0.92)			0.43 (-1.3 to 2.2)
mean_APexc_mean * group_char		0.87	0.87		0.34	0.67		0.24	0.47		0.054	0.21
mean_APexc_mean * H2000’s	0.08 (-4.6 to 4.8)			9.3 (-3.1 to 22)			5.3 (-0.98 to 12)			-43 (-80 to -6.1)
mean_APexc_mean * H3000’s	-1.2 (-6.2 to 3.8)			2.8 (-10 to 16)			3.1 (-3.6 to 9.7)			-3.4 (-39 to 32)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.016, R2c: 0.9333

alpha_avg_power R2m: 0.0069, R2c: 0.9504

beta_avg_power R2m: 0.0112, R2c: 0.9536

theta_div_beta R2m: 0.0376, R2c: 0.0376

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.46 (0.12 to 0.80)	0.009	0.036	3.9 (2.9 to 4.9)	<0.001	<0.001	2.4 (1.8 to 2.9)	<0.001	<0.001	0.31 (-0.77 to 1.4)	0.57	0.76
mean_MLexc_COV	0.00 (-0.01 to 0.02)	0.57	0.57	0.00 (-0.03 to 0.04)	0.83	0.97	0.00 (-0.02 to 0.02)	0.91	0.91	0.00 (-0.07 to 0.07)	0.93	0.93
group_char		0.20	0.26		0.97	0.97		0.42	0.56		0.29	0.76
H1000’s	—			—			—			—
H2000’s	-0.38 (-0.91 to 0.15)			-0.17 (-1.7 to 1.4)			0.53 (-0.30 to 1.4)			-1.2 (-2.9 to 0.53)
H3000’s	0.10 (-0.42 to 0.63)			-0.13 (-1.7 to 1.4)			0.37 (-0.44 to 1.2)			0.20 (-1.6 to 2.0)
mean_MLexc_COV * group_char		0.15	0.26		0.69	0.97		0.35	0.56		0.42	0.76
mean_MLexc_COV * H2000’s	0.01 (0.00 to 0.03)			-0.01 (-0.06 to 0.03)			-0.02 (-0.04 to 0.01)			0.07 (-0.04 to 0.18)
mean_MLexc_COV * H3000’s	0.00 (-0.02 to 0.01)			-0.02 (-0.07 to 0.03)			-0.01 (-0.03 to 0.01)			0.01 (-0.11 to 0.12)
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0177, R2c: 0.9345

alpha_avg_power R2m: 0.0059, R2c: 0.9491

beta_avg_power R2m: 0.01, R2c: 0.9519

theta_div_beta R2m: 0.0157, R2c: 0.0157

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.62 (0.29 to 0.94)	<0.001	0.001	3.9 (2.9 to 4.9)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.31 (-0.82 to 1.4)	0.59	0.79
mean_MLexc_mean	-1.3 (-3.0 to 0.44)	0.14	0.29	0.18 (-4.5 to 4.8)	0.94	0.94	0.92 (-1.4 to 3.3)	0.44	0.69	-0.51 (-14 to 13)	0.94	0.94
group_char		0.69	0.89		0.65	0.87		0.94	0.94		0.10	0.19
H1000’s	—			—			—			—
H2000’s	-0.14 (-0.65 to 0.36)			-0.63 (-2.2 to 0.90)			0.14 (-0.67 to 0.95)			1.4 (-0.20 to 3.0)
H3000’s	0.09 (-0.41 to 0.59)			-0.57 (-2.1 to 0.93)			0.08 (-0.71 to 0.88)			-0.22 (-1.8 to 1.3)
mean_MLexc_mean * group_char		0.89	0.89		0.61	0.87		0.52	0.69		0.017	0.069
mean_MLexc_mean * H2000’s	-0.55 (-2.8 to 1.7)			3.1 (-3.0 to 9.1)			1.6 (-1.5 to 4.6)			-18 (-36 to 0.07)
mean_MLexc_mean * H3000’s	-0.42 (-2.8 to 2.0)			1.8 (-4.7 to 8.4)			1.7 (-1.6 to 5.0)			6.3 (-11 to 24)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0187, R2c: 0.9363

alpha_avg_power R2m: 0.0063, R2c: 0.9499

beta_avg_power R2m: 0.0113, R2c: 0.9546

theta_div_beta R2m: 0.0398, R2c: 0.0398

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.61 (0.29 to 0.93)	<0.001	<0.001	3.9 (2.9 to 4.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.28 (-0.82 to 1.4)	0.62	0.83
mean_StepDur	-0.11 (-0.23 to 0.02)	0.10	0.20	0.07 (-0.26 to 0.41)	0.67	0.67	0.09 (-0.08 to 0.26)	0.31	0.41	-0.01 (-1.1 to 1.1)	0.98	0.98
group_char		0.52	0.52		0.56	0.67		0.98	0.98		0.061	0.12
H1000’s	—			—			—			—
H2000’s	-0.15 (-0.67 to 0.37)			-0.69 (-2.2 to 0.86)			0.07 (-0.74 to 0.88)			2.2 (0.30 to 4.2)
H3000’s	0.18 (-0.33 to 0.70)			-0.72 (-2.3 to 0.82)			0.01 (-0.79 to 0.82)			0.05 (-1.9 to 2.0)
mean_StepDur * group_char		0.36	0.48		0.31	0.63		0.12	0.24		0.020	0.079
mean_StepDur * H2000’s	-0.09 (-0.35 to 0.17)			0.45 (-0.25 to 1.2)			0.30 (-0.05 to 0.66)			-3.2 (-5.5 to -0.83)
mean_StepDur * H3000’s	-0.22 (-0.55 to 0.10)			0.47 (-0.40 to 1.3)			0.34 (-0.10 to 0.78)			0.36 (-2.2 to 3.0)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0176, R2c: 0.9357

alpha_avg_power R2m: 0.0066, R2c: 0.95

beta_avg_power R2m: 0.0109, R2c: 0.9537

theta_div_beta R2m: 0.0394, R2c: 0.0394

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.58 (0.27 to 0.90)	<0.001	<0.001	4.0 (3.1 to 5.0)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.32 (-0.47 to 1.1)	0.43	0.58
mean_StepDur_cov	-0.01 (-0.03 to 0.00)	0.087	0.17	-0.02 (-0.06 to 0.03)	0.49	0.66	0.01 (-0.01 to 0.03)	0.41	0.76	-0.01 (-0.15 to 0.13)	0.89	0.89
group_char		0.43	0.57		0.66	0.66		0.86	0.86		0.38	0.58
H1000’s	—			—			—			—
H2000’s	-0.23 (-0.72 to 0.26)			-0.50 (-2.0 to 0.99)			0.22 (-0.56 to 1.0)			0.06 (-1.2 to 1.3)
H3000’s	0.12 (-0.37 to 0.62)			-0.64 (-2.1 to 0.84)			0.10 (-0.68 to 0.88)			-1.0 (-2.6 to 0.53)
mean_StepDur_cov * group_char		0.61	0.61		0.58	0.66		0.57	0.76		0.12	0.49
mean_StepDur_cov * H2000’s	0.01 (-0.02 to 0.03)			0.03 (-0.04 to 0.10)			0.01 (-0.02 to 0.05)			-0.04 (-0.25 to 0.17)
mean_StepDur_cov * H3000’s	-0.01 (-0.05 to 0.02)			0.04 (-0.05 to 0.13)			0.02 (-0.02 to 0.07)			0.25 (-0.02 to 0.53)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0167, R2c: 0.9352

alpha_avg_power R2m: 0.0058, R2c: 0.9489

beta_avg_power R2m: 0.0099, R2c: 0.9522

theta_div_beta R2m: 0.0222, R2c: 0.0222

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.58 (0.27 to 0.89)	<0.001	0.001	4.0 (3.0 to 4.9)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.31 (-0.61 to 1.2)	0.51	0.91
mean_UDexc_COV	-0.01 (-0.01 to 0.00)	0.17	0.33	0.00 (-0.02 to 0.02)	0.71	0.71	0.00 (-0.01 to 0.01)	0.46	0.61	0.00 (-0.07 to 0.06)	0.91	0.91
group_char		0.52	0.69		0.58	0.71		0.91	0.91		0.84	0.91
H1000’s	—			—			—			—
H2000’s	-0.20 (-0.70 to 0.30)			-0.63 (-2.1 to 0.87)			0.17 (-0.62 to 0.96)			0.39 (-1.1 to 1.9)
H3000’s	0.11 (-0.38 to 0.60)			-0.68 (-2.2 to 0.79)			0.02 (-0.75 to 0.80)			0.38 (-1.2 to 1.9)
mean_UDexc_COV * group_char		0.85	0.85		0.36	0.71		0.24	0.49		0.73	0.91
mean_UDexc_COV * H2000’s	0.00 (-0.01 to 0.01)			0.02 (-0.01 to 0.05)			0.01 (-0.01 to 0.02)			-0.04 (-0.14 to 0.06)
mean_UDexc_COV * H3000’s	0.00 (-0.02 to 0.01)			0.02 (-0.01 to 0.05)			0.01 (0.00 to 0.03)			-0.01 (-0.11 to 0.10)
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0165, R2c: 0.9341

alpha_avg_power R2m: 0.0062, R2c: 0.9496

beta_avg_power R2m: 0.011, R2c: 0.9536

theta_div_beta R2m: 0.0118, R2c: 0.0118

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.37 (0.05 to 0.69)	0.023	0.047	3.9 (2.9 to 4.9)	<0.001	<0.001	2.4 (1.9 to 2.9)	<0.001	<0.001	0.28 (-0.81 to 1.4)	0.62	0.82
mean_UDexc_mean	5.9 (0.89 to 11)	0.021	0.047	1.5 (-12 to 15)	0.83	0.99	-1.4 (-8.2 to 5.4)	0.69	0.69	-0.53 (-44 to 43)	0.98	0.98
group_char		0.56	0.75		0.99	0.99		0.35	0.46		0.10	0.40
H1000’s	—			—			—			—
H2000’s	-0.23 (-0.73 to 0.27)			-0.06 (-1.6 to 1.5)			0.46 (-0.33 to 1.2)			-1.3 (-3.0 to 0.35)
H3000’s	0.04 (-0.45 to 0.54)			-0.12 (-1.6 to 1.4)			0.51 (-0.26 to 1.3)			0.51 (-1.1 to 2.1)
mean_UDexc_mean * group_char		0.96	0.96		0.38	0.76		0.089	0.18		0.20	0.40
mean_UDexc_mean * H2000’s	1.1 (-6.4 to 8.5)			-13 (-33 to 7.7)			-7.1 (-17 to 3.1)			48 (-17 to 112)
mean_UDexc_mean * H3000’s	0.18 (-7.3 to 7.7)			-12 (-32 to 8.4)			-11 (-21 to -0.98)			-8.4 (-70 to 53)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0192, R2c: 0.937

alpha_avg_power R2m: 0.0065, R2c: 0.9495

beta_avg_power R2m: 0.0125, R2c: 0.9528

theta_div_beta R2m: 0.0207, R2c: 0.0207

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.59 (0.28 to 0.90)	<0.001	<0.001	3.9 (2.9 to 4.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.28 (-0.63 to 1.2)	0.54	0.73
mean_StanceDur	-0.07 (-0.14 to 0.01)	0.085	0.17	0.05 (-0.14 to 0.25)	0.60	0.63	0.06 (-0.04 to 0.16)	0.26	0.34	-0.01 (-0.69 to 0.66)	0.97	0.97
group_char		0.49	0.49		0.63	0.63		0.95	0.95		0.055	0.11
H1000’s	—			—			—			—
H2000’s	-0.17 (-0.67 to 0.33)			-0.61 (-2.1 to 0.91)			0.13 (-0.67 to 0.92)			1.9 (0.29 to 3.5)
H3000’s	0.16 (-0.33 to 0.66)			-0.62 (-2.1 to 0.86)			0.06 (-0.72 to 0.84)			0.09 (-1.6 to 1.7)
mean_StanceDur * group_char		0.35	0.47		0.38	0.63		0.14	0.28		0.012	0.048
mean_StanceDur * H2000’s	-0.04 (-0.20 to 0.11)			0.25 (-0.16 to 0.66)			0.17 (-0.04 to 0.38)			-2.0 (-3.4 to -0.61)
mean_StanceDur * H3000’s	-0.14 (-0.32 to 0.05)			0.24 (-0.26 to 0.74)			0.19 (-0.06 to 0.45)			0.23 (-1.3 to 1.8)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0175, R2c: 0.9358

alpha_avg_power R2m: 0.0065, R2c: 0.9499

beta_avg_power R2m: 0.0108, R2c: 0.9537

theta_div_beta R2m: 0.0437, R2c: 0.0437

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.61 (0.29 to 0.93)	<0.001	<0.001	3.9 (2.9 to 4.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.28 (-0.82 to 1.4)	0.62	0.83
mean_GaitCycleDur	-0.05 (-0.12 to 0.01)	0.10	0.20	0.04 (-0.13 to 0.20)	0.67	0.67	0.04 (-0.04 to 0.13)	0.31	0.41	-0.01 (-0.57 to 0.56)	0.98	0.98
group_char		0.51	0.51		0.56	0.67		0.98	0.98		0.063	0.13
H1000’s	—			—			—			—
H2000’s	-0.15 (-0.67 to 0.37)			-0.69 (-2.2 to 0.86)			0.07 (-0.74 to 0.89)			2.2 (0.28 to 4.2)
H3000’s	0.19 (-0.33 to 0.70)			-0.72 (-2.3 to 0.81)			0.01 (-0.79 to 0.82)			0.05 (-1.9 to 2.0)
mean_GaitCycleDur * group_char		0.36	0.48		0.31	0.63		0.12	0.24		0.020	0.082
mean_GaitCycleDur * H2000’s	-0.05 (-0.18 to 0.09)			0.22 (-0.12 to 0.57)			0.15 (-0.03 to 0.33)			-1.6 (-2.7 to -0.41)
mean_GaitCycleDur * H3000’s	-0.11 (-0.27 to 0.05)			0.23 (-0.20 to 0.67)			0.17 (-0.05 to 0.39)			0.18 (-1.1 to 1.5)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0176, R2c: 0.9357

alpha_avg_power R2m: 0.0066, R2c: 0.95

beta_avg_power R2m: 0.0109, R2c: 0.9537

theta_div_beta R2m: 0.0391, R2c: 0.0391

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.42 (0.11 to 0.73)	0.008	0.034	3.9 (3.0 to 4.9)	<0.001	<0.001	2.4 (1.9 to 2.9)	<0.001	<0.001	0.26 (-0.62 to 1.1)	0.56	0.74
mean_PeakUpDownVel_mean	0.39 (0.02 to 0.77)	0.039	0.077	0.05 (-0.96 to 1.1)	0.93	0.95	-0.09 (-0.60 to 0.42)	0.72	0.72	0.01 (-3.4 to 3.4)	0.99	0.99
group_char		0.55	0.73		0.95	0.95		0.40	0.53		0.035	0.14
H1000’s	—			—			—			—
H2000’s	-0.24 (-0.73 to 0.25)			-0.08 (-1.6 to 1.4)			0.45 (-0.32 to 1.2)			-1.3 (-2.7 to 0.04)
H3000’s	0.02 (-0.46 to 0.50)			-0.22 (-1.7 to 1.2)			0.44 (-0.32 to 1.2)			0.55 (-0.81 to 1.9)
mean_PeakUpDownVel_mean * group_char		0.92	0.92		0.33	0.67		0.093	0.19		0.077	0.15
mean_PeakUpDownVel_mean * H2000’s	0.11 (-0.44 to 0.66)			-1.1 (-2.6 to 0.39)			-0.64 (-1.4 to 0.11)			4.5 (-0.43 to 9.5)
mean_PeakUpDownVel_mean * H3000’s	0.07 (-0.48 to 0.63)			-0.72 (-2.2 to 0.77)			-0.77 (-1.5 to -0.02)			-0.90 (-5.8 to 4.0)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.29 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0186, R2c: 0.937

alpha_avg_power R2m: 0.0066, R2c: 0.9497

beta_avg_power R2m: 0.0119, R2c: 0.9534

theta_div_beta R2m: 0.0288, R2c: 0.0288

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.3 (0.82 to 1.8)	<0.001	<0.001	1.2 (0.39 to 1.9)	0.003	0.013	0.70 (0.17 to 1.2)	0.010	0.039	4.0 (-7.3 to 15)	0.49	0.75
mean_APexc_COV	-0.01 (-0.03 to 0.01)	0.44	0.58	0.01 (-0.03 to 0.04)	0.70	0.88	0.00 (-0.01 to 0.02)	0.77	0.77	-0.11 (-0.80 to 0.58)	0.75	0.75
group_char		0.19	0.39		0.88	0.88		0.088	0.18		0.67	0.75
H1000’s	—			—			—			—
H2000’s	-0.58 (-1.3 to 0.15)			0.30 (-0.90 to 1.5)			0.82 (0.03 to 1.6)			3.3 (-14 to 20)
H3000’s	-0.55 (-1.3 to 0.15)			0.08 (-1.1 to 1.2)			0.66 (-0.11 to 1.4)			-4.4 (-20 to 11)
mean_APexc_COV * group_char		0.95	0.95		0.32	0.63		0.32	0.43		0.49	0.75
mean_APexc_COV * H2000’s	0.00 (-0.03 to 0.02)			-0.02 (-0.06 to 0.03)			-0.01 (-0.03 to 0.01)			-0.23 (-1.1 to 0.66)
mean_APexc_COV * H3000’s	0.00 (-0.02 to 0.02)			0.01 (-0.03 to 0.05)			0.00 (-0.02 to 0.02)			0.19 (-0.61 to 0.98)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1241, R2c: 0.9008

alpha_avg_power R2m: 0.0357, R2c: 0.8606

beta_avg_power R2m: 0.0887, R2c: 0.95

theta_div_beta R2m: 0.0136, R2c: 0.0136

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.6 (1.1 to 2.0)	<0.001	<0.001	1.0 (0.36 to 1.7)	0.003	0.012	0.60 (0.11 to 1.1)	0.016	0.031	2.7 (-7.5 to 13)	0.61	0.81
mean_APexc_mean	-7.3 (-12 to -2.8)	0.001	0.003	4.1 (-3.7 to 12)	0.30	0.30	2.4 (-1.2 to 6.1)	0.19	0.26	-9.0 (-191 to 173)	0.92	0.92
group_char		0.008	0.010		0.28	0.30		0.26	0.26		0.046	0.16
H1000’s	—			—			—			—
H2000’s	-0.92 (-1.6 to -0.27)			-0.65 (-1.7 to 0.38)			0.13 (-0.59 to 0.85)			-15 (-30 to -0.15)
H3000’s	-0.82 (-1.4 to -0.20)			0.15 (-0.83 to 1.1)			0.57 (-0.13 to 1.3)			1.1 (-12 to 14)
mean_APexc_mean * group_char		0.74	0.74		0.070	0.14		0.003	0.012		0.079	0.16
mean_APexc_mean * H2000’s	3.1 (-4.9 to 11)			15 (0.91 to 29)			11 (4.3 to 18)			289 (-16 to 593)
mean_APexc_mean * H3000’s	1.4 (-5.9 to 8.8)			11 (-2.2 to 23)			6.2 (0.21 to 12)			-47 (-303 to 208)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.2 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.50 (NA to NA)			0.23 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1281, R2c: 0.9088

alpha_avg_power R2m: 0.0509, R2c: 0.8691

beta_avg_power R2m: 0.1012, R2c: 0.957

theta_div_beta R2m: 0.0291, R2c: 0.0291

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.80 (0.33 to 1.3)	<0.001	0.003	1.2 (0.47 to 2.0)	0.001	0.003	0.71 (0.19 to 1.2)	0.007	0.030	3.7 (-5.7 to 13)	0.44	0.84
mean_MLexc_COV	0.03 (0.01 to 0.05)	0.012	0.024	0.00 (-0.03 to 0.04)	0.82	0.82	0.00 (-0.02 to 0.02)	0.84	0.84	-0.11 (-0.75 to 0.53)	0.74	0.84
group_char		0.34	0.34		0.56	0.75		0.051	0.10		0.84	0.84
H1000’s	—			—			—			—
H2000’s	-0.38 (-1.0 to 0.25)			0.25 (-0.75 to 1.2)			0.83 (0.11 to 1.6)			-0.89 (-14 to 12)
H3000’s	-0.45 (-1.1 to 0.20)			-0.30 (-1.3 to 0.75)			0.74 (-0.01 to 1.5)			-4.1 (-18 to 10)
mean_MLexc_COV * group_char		0.21	0.28		0.001	0.003		0.080	0.11		0.73	0.84
mean_MLexc_COV * H2000’s	-0.02 (-0.05 to 0.00)			-0.02 (-0.06 to 0.02)			-0.02 (-0.04 to 0.00)			-0.12 (-0.98 to 0.74)
mean_MLexc_COV * H3000’s	-0.02 (-0.04 to 0.01)			0.05 (0.01 to 0.10)			0.00 (-0.02 to 0.03)			0.24 (-0.69 to 1.2)
subj_char.sd__(Intercept)	0.82 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.51 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1291, R2c: 0.9013

alpha_avg_power R2m: 0.044, R2c: 0.8667

beta_avg_power R2m: 0.0897, R2c: 0.9511

theta_div_beta R2m: 0.0104, R2c: 0.0104

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.6 (1.2 to 2.0)	<0.001	<0.001	1.2 (0.49 to 1.8)	<0.001	0.003	0.59 (0.11 to 1.1)	0.017	0.068	3.1 (-5.7 to 12)	0.49	0.66
mean_MLexc_mean	-5.2 (-7.8 to -2.6)	<0.001	<0.001	1.2 (-3.6 to 6.0)	0.61	0.61	1.7 (-0.53 to 4.0)	0.13	0.19	-11 (-114 to 92)	0.83	0.83
group_char		0.003	0.003		0.34	0.61		0.14	0.19		0.22	0.66
H1000’s	—			—			—			—
H2000’s	-0.99 (-1.6 to -0.40)			-0.33 (-1.3 to 0.61)			0.43 (-0.27 to 1.1)			-8.8 (-20 to 2.6)
H3000’s	-0.78 (-1.4 to -0.18)			0.38 (-0.58 to 1.3)			0.70 (0.00 to 1.4)			-1.0 (-12 to 10)
mean_MLexc_mean * group_char		0.067	0.067		0.60	0.61		0.56	0.56		0.40	0.66
mean_MLexc_mean * H2000’s	3.7 (0.47 to 6.9)			3.0 (-2.9 to 9.0)			1.5 (-1.3 to 4.3)			71 (-56 to 197)
mean_MLexc_mean * H3000’s	1.6 (-2.0 to 5.1)			1.6 (-4.9 to 8.1)			0.99 (-2.1 to 4.0)			5.4 (-126 to 137)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1349, R2c: 0.9131

alpha_avg_power R2m: 0.0387, R2c: 0.8615

beta_avg_power R2m: 0.095, R2c: 0.9553

theta_div_beta R2m: 0.0174, R2c: 0.0174

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	1.1 (0.46 to 1.7)	<0.001	0.003	0.61 (0.13 to 1.1)	0.012	0.024	1.8 (-6.5 to 10)	0.67	0.89
mean_StepDur	-0.41 (-0.60 to -0.22)	<0.001	<0.001	0.19 (-0.16 to 0.54)	0.30	0.40	0.14 (-0.02 to 0.30)	0.093	0.12	0.42 (-8.2 to 9.1)	0.92	0.92
group_char		0.015	0.020		0.56	0.56		0.43	0.43		0.18	0.56
H1000’s	—			—			—			—
H2000’s	-0.89 (-1.5 to -0.29)			-0.46 (-1.4 to 0.51)			0.24 (-0.46 to 0.95)			-11 (-25 to 2.3)
H3000’s	-0.47 (-1.1 to 0.17)			0.06 (-0.99 to 1.1)			0.48 (-0.25 to 1.2)			2.2 (-13 to 17)
mean_StepDur * group_char		0.12	0.12		0.11	0.22		0.003	0.013		0.28	0.56
mean_StepDur * H2000’s	0.17 (-0.20 to 0.54)			0.59 (-0.10 to 1.3)			0.48 (0.16 to 0.80)			12 (-4.5 to 28)
mean_StepDur * H3000’s	-0.45 (-0.98 to 0.08)			0.77 (-0.21 to 1.7)			0.52 (0.06 to 0.97)			-4.1 (-24 to 16)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1334, R2c: 0.9167

alpha_avg_power R2m: 0.0407, R2c: 0.867

beta_avg_power R2m: 0.096, R2c: 0.9565

theta_div_beta R2m: 0.0199, R2c: 0.0199

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.8)	<0.001	<0.001	1.2 (0.55 to 1.8)	<0.001	<0.001	0.63 (0.15 to 1.1)	0.009	0.037	2.9 (-3.5 to 9.3)	0.37	0.49
mean_StepDur_cov	-0.06 (-0.09 to -0.03)	<0.001	<0.001	0.02 (-0.03 to 0.07)	0.45	0.58	0.02 (0.00 to 0.05)	0.10	0.13	-0.14 (-1.3 to 0.99)	0.81	0.81
group_char		0.010	0.013		0.32	0.58		0.077	0.13		0.13	0.48
H1000’s	—			—			—			—
H2000’s	-0.83 (-1.4 to -0.25)			-0.30 (-1.2 to 0.65)			0.47 (-0.23 to 1.2)			-12 (-23 to -0.34)
H3000’s	-0.70 (-1.3 to -0.11)			0.47 (-0.47 to 1.4)			0.80 (0.10 to 1.5)			-3.0 (-14 to 7.9)
mean_StepDur_cov * group_char		0.60	0.60		0.58	0.58		0.53	0.53		0.24	0.48
mean_StepDur_cov * H2000’s	0.03 (-0.03 to 0.08)			0.05 (-0.05 to 0.14)			0.02 (-0.02 to 0.07)			1.8 (-0.28 to 3.8)
mean_StepDur_cov * H3000’s	0.01 (-0.03 to 0.06)			0.00 (-0.08 to 0.09)			-0.01 (-0.05 to 0.04)			0.44 (-1.4 to 2.3)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1311, R2c: 0.9112

alpha_avg_power R2m: 0.0345, R2c: 0.8628

beta_avg_power R2m: 0.0899, R2c: 0.9518

theta_div_beta R2m: 0.0221, R2c: 0.0221

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	1.2 (0.60 to 1.8)	<0.001	<0.001	0.66 (0.18 to 1.1)	0.007	0.027	3.4 (-3.7 to 10)	0.35	0.86
mean_UDexc_COV	-0.02 (-0.04 to -0.01)	<0.001	<0.001	0.00 (-0.02 to 0.03)	0.76	0.85	0.01 (-0.01 to 0.02)	0.29	0.39	-0.10 (-0.62 to 0.43)	0.72	0.86
group_char		0.009	0.012		0.56	0.85		0.12	0.25		0.62	0.86
H1000’s	—			—			—			—
H2000’s	-0.82 (-1.4 to -0.25)			-0.14 (-1.1 to 0.77)			0.45 (-0.25 to 1.1)			-5.2 (-16 to 5.4)
H3000’s	-0.70 (-1.3 to -0.12)			0.37 (-0.56 to 1.3)			0.72 (0.02 to 1.4)			-1.3 (-13 to 9.9)
mean_UDexc_COV * group_char		0.52	0.52		0.85	0.85		0.49	0.49		0.86	0.86
mean_UDexc_COV * H2000’s	0.01 (-0.01 to 0.03)			0.01 (-0.03 to 0.04)			0.01 (-0.01 to 0.03)			0.21 (-0.55 to 0.97)
mean_UDexc_COV * H3000’s	0.01 (-0.01 to 0.02)			0.01 (-0.03 to 0.04)			0.00 (-0.01 to 0.02)			0.06 (-0.71 to 0.84)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1335, R2c: 0.9127

alpha_avg_power R2m: 0.0327, R2c: 0.8612

beta_avg_power R2m: 0.0893, R2c: 0.953

theta_div_beta R2m: 0.008, R2c: 0.008

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.81 (0.42 to 1.2)	<0.001	<0.001	1.2 (0.54 to 1.8)	<0.001	0.001	0.77 (0.29 to 1.3)	0.002	0.007	2.3 (-5.7 to 10)	0.57	0.80
mean_UDexc_mean	15 (7.7 to 22)	<0.001	<0.001	3.8 (-10 to 18)	0.59	0.59	-1.5 (-7.9 to 5.0)	0.65	0.65	-3.6 (-318 to 311)	0.98	0.98
group_char		0.070	0.093		0.39	0.53		0.017	0.034		0.39	0.80
H1000’s	—			—			—			—
H2000’s	-0.56 (-1.1 to 0.02)			0.27 (-0.65 to 1.2)			0.81 (0.12 to 1.5)			-6.3 (-17 to 4.6)
H3000’s	-0.61 (-1.2 to -0.03)			0.66 (-0.28 to 1.6)			0.92 (0.22 to 1.6)			0.57 (-11 to 12)
mean_UDexc_mean * group_char		0.45	0.45		0.40	0.53		0.11	0.14		0.60	0.80
mean_UDexc_mean * H2000’s	-6.4 (-16 to 3.6)			-13 (-32 to 5.8)			-9.6 (-18 to -0.70)			157 (-269 to 583)
mean_UDexc_mean * H3000’s	-3.0 (-13 to 7.4)			-6.2 (-26 to 13)			-5.4 (-15 to 3.9)			-45 (-472 to 383)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.136, R2c: 0.9148

alpha_avg_power R2m: 0.0331, R2c: 0.8616

beta_avg_power R2m: 0.0919, R2c: 0.9539

theta_div_beta R2m: 0.0118, R2c: 0.0118

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	1.1 (0.51 to 1.7)	<0.001	0.001	0.63 (0.16 to 1.1)	0.009	0.017	1.9 (-5.0 to 8.8)	0.59	0.79
mean_StanceDur	-0.24 (-0.35 to -0.13)	<0.001	<0.001	0.12 (-0.09 to 0.33)	0.26	0.35	0.09 (-0.01 to 0.18)	0.079	0.11	0.25 (-4.9 to 5.4)	0.92	0.92
group_char		0.013	0.018		0.63	0.63		0.28	0.28		0.15	0.51
H1000’s	—			—			—			—
H2000’s	-0.85 (-1.4 to -0.27)			-0.34 (-1.3 to 0.58)			0.33 (-0.36 to 1.0)			-9.6 (-21 to 1.7)
H3000’s	-0.56 (-1.2 to 0.04)			0.13 (-0.83 to 1.1)			0.56 (-0.14 to 1.3)			2.4 (-10 to 15)
mean_StanceDur * group_char		0.23	0.23		0.12	0.23		0.007	0.017		0.25	0.51
mean_StanceDur * H2000’s	0.09 (-0.13 to 0.31)			0.31 (-0.09 to 0.72)			0.26 (0.07 to 0.46)			7.1 (-2.7 to 17)
mean_StanceDur * H3000’s	-0.21 (-0.51 to 0.10)			0.48 (-0.08 to 1.0)			0.28 (0.02 to 0.54)			-3.3 (-16 to 9.0)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9145

alpha_avg_power R2m: 0.0404, R2c: 0.8668

beta_avg_power R2m: 0.0952, R2c: 0.9561

theta_div_beta R2m: 0.0203, R2c: 0.0203

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	1.1 (0.46 to 1.7)	<0.001	0.003	0.61 (0.13 to 1.1)	0.012	0.024	1.8 (-6.5 to 10)	0.67	0.89
mean_GaitCycleDur	-0.21 (-0.30 to -0.11)	<0.001	<0.001	0.09 (-0.08 to 0.27)	0.30	0.39	0.07 (-0.01 to 0.15)	0.092	0.12	0.21 (-4.1 to 4.5)	0.92	0.92
group_char		0.015	0.020		0.56	0.56		0.43	0.43		0.18	0.56
H1000’s	—			—			—			—
H2000’s	-0.89 (-1.5 to -0.29)			-0.46 (-1.4 to 0.51)			0.24 (-0.46 to 0.95)			-11 (-25 to 2.3)
H3000’s	-0.48 (-1.1 to 0.17)			0.06 (-0.99 to 1.1)			0.48 (-0.24 to 1.2)			2.2 (-12 to 17)
mean_GaitCycleDur * group_char		0.13	0.13		0.11	0.22		0.003	0.014		0.28	0.56
mean_GaitCycleDur * H2000’s	0.08 (-0.10 to 0.27)			0.30 (-0.05 to 0.64)			0.24 (0.08 to 0.40)			5.9 (-2.3 to 14)
mean_GaitCycleDur * H3000’s	-0.22 (-0.49 to 0.04)			0.38 (-0.10 to 0.87)			0.26 (0.03 to 0.49)			-2.0 (-12 to 8.0)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1333, R2c: 0.9166

alpha_avg_power R2m: 0.0407, R2c: 0.867

beta_avg_power R2m: 0.096, R2c: 0.9565

theta_div_beta R2m: 0.0198, R2c: 0.0198

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.91 (0.52 to 1.3)	<0.001	<0.001	1.3 (0.65 to 1.9)	<0.001	<0.001	0.77 (0.30 to 1.2)	0.001	0.005	2.1 (-4.4 to 8.6)	0.53	0.97
mean_PeakUpDownVel_mean	1.1 (0.57 to 1.7)	<0.001	<0.001	0.04 (-0.99 to 1.1)	0.94	0.94	-0.16 (-0.64 to 0.32)	0.52	0.52	0.43 (-24 to 25)	0.97	0.97
group_char		0.046	0.062		0.31	0.58		0.016	0.032		0.62	0.97
H1000’s	—			—			—			—
H2000’s	-0.61 (-1.2 to -0.05)			0.19 (-0.69 to 1.1)			0.78 (0.10 to 1.5)			-4.1 (-13 to 5.1)
H3000’s	-0.60 (-1.2 to -0.04)			0.68 (-0.21 to 1.6)			0.92 (0.24 to 1.6)			-0.19 (-9.7 to 9.3)
mean_PeakUpDownVel_mean * group_char		0.43	0.43		0.43	0.58		0.071	0.10		0.88	0.97
mean_PeakUpDownVel_mean * H2000’s	-0.49 (-1.3 to 0.28)			-0.92 (-2.3 to 0.50)			-0.77 (-1.4 to -0.11)			6.3 (-28 to 40)
mean_PeakUpDownVel_mean * H3000’s	-0.37 (-1.1 to 0.40)			-0.62 (-2.1 to 0.81)			-0.46 (-1.1 to 0.21)			-1.5 (-35 to 32)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1335, R2c: 0.9127

alpha_avg_power R2m: 0.0344, R2c: 0.8632

beta_avg_power R2m: 0.0927, R2c: 0.9554

theta_div_beta R2m: 0.0081, R2c: 0.0081

## LME EEG ~ 1+kin+group

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.95 (0.58 to 1.3)	<0.001	<0.001	1.2 (0.25 to 2.1)	0.012	0.037	1.4 (0.62 to 2.2)	<0.001	0.002	0.14 (-6.2 to 6.5)	0.96	0.96
mean_APexc_COV	0.00 (-0.02 to 0.01)	0.46	0.46	0.01 (-0.01 to 0.02)	0.50	0.75	0.01 (0.00 to 0.02)	0.065	0.10	-0.07 (-0.42 to 0.28)	0.68	0.96
group_char		0.16	0.25		0.83	0.83		0.13	0.13		0.39	0.96
H1000’s	—			—			—			—
H2000’s	-0.25 (-0.75 to 0.25)			-0.12 (-1.4 to 1.2)			0.56 (-0.62 to 1.7)			3.8 (-1.6 to 9.1)
H3000’s	-0.46 (-0.94 to 0.01)			0.27 (-0.96 to 1.5)			1.1 (0.04 to 2.2)			2.0 (-3.6 to 7.7)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.71 to 1.4)	<0.001	<0.001	0.97 (0.06 to 1.9)	0.036	0.055	1.3 (0.53 to 2.1)	0.001	0.003	-2.0 (-9.3 to 5.4)	0.60	0.77
mean_APexc_mean	-3.5 (-6.7 to -0.26)	0.034	0.051	5.1 (0.68 to 9.4)	0.023	0.055	4.5 (1.6 to 7.4)	0.003	0.004	18 (-103 to 139)	0.77	0.77
group_char		0.065	0.065		0.75	0.75		0.067	0.067		0.40	0.77
H1000’s	—			—			—			—
H2000’s	-0.30 (-0.80 to 0.19)			-0.04 (-1.3 to 1.3)			0.66 (-0.51 to 1.8)			3.4 (-1.5 to 8.3)
H3000’s	-0.55 (-1.0 to -0.09)			0.39 (-0.83 to 1.6)			1.3 (0.20 to 2.4)			1.6 (-3.3 to 6.4)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.45 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.75 (0.39 to 1.1)	<0.001	<0.001	1.3 (0.35 to 2.2)	0.007	0.020	1.7 (0.91 to 2.5)	<0.001	<0.001	0.94 (-5.6 to 7.5)	0.78	0.78
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.11	0.11	0.00 (-0.02 to 0.01)	0.93	0.93	-0.01 (-0.02 to 0.00)	0.091	0.091	-0.13 (-0.51 to 0.25)	0.50	0.75
group_char		0.10	0.11		0.80	0.93		0.087	0.091		0.45	0.75
H1000’s	—			—			—			—
H2000’s	-0.27 (-0.76 to 0.22)			-0.08 (-1.4 to 1.2)			0.62 (-0.56 to 1.8)			3.1 (-1.7 to 8.0)
H3000’s	-0.50 (-0.96 to -0.04)			0.33 (-0.90 to 1.5)			1.2 (0.14 to 2.3)			1.3 (-3.3 to 5.8)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.76 to 1.5)	<0.001	<0.001	1.2 (0.28 to 2.1)	0.010	0.030	1.4 (0.61 to 2.2)	<0.001	0.001	-1.2 (-6.6 to 4.2)	0.67	0.94
mean_MLexc_mean	-2.8 (-4.3 to -1.4)	<0.001	<0.001	1.0 (-1.0 to 3.0)	0.34	0.50	2.1 (0.76 to 3.4)	0.002	0.003	2.1 (-53 to 57)	0.94	0.94
group_char		0.11	0.11		0.79	0.79		0.089	0.089		0.44	0.94
H1000’s	—			—			—			—
H2000’s	-0.23 (-0.72 to 0.27)			-0.10 (-1.4 to 1.2)			0.59 (-0.59 to 1.8)			3.2 (-1.7 to 8.2)
H3000’s	-0.49 (-0.96 to -0.03)			0.32 (-0.90 to 1.5)			1.2 (0.13 to 2.3)			1.3 (-3.2 to 5.9)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.77 to 1.5)	<0.001	<0.001	1.1 (0.20 to 2.0)	0.017	0.051	1.4 (0.58 to 2.2)	<0.001	0.002	-1.1 (-8.7 to 6.5)	0.79	0.99
mean_StepDur	-0.27 (-0.44 to -0.10)	0.002	0.003	0.16 (-0.08 to 0.40)	0.19	0.29	0.21 (0.05 to 0.37)	0.009	0.014	0.05 (-7.4 to 7.5)	0.99	0.99
group_char		0.055	0.055		0.78	0.78		0.072	0.072		0.43	0.99
H1000’s	—			—			—			—
H2000’s	-0.32 (-0.81 to 0.17)			-0.06 (-1.4 to 1.3)			0.65 (-0.52 to 1.8)			3.3 (-1.7 to 8.2)
H3000’s	-0.56 (-1.0 to -0.10)			0.36 (-0.86 to 1.6)			1.3 (0.19 to 2.4)			1.3 (-3.5 to 6.2)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.67 to 1.4)	<0.001	<0.001	1.2 (0.29 to 2.1)	0.009	0.028	1.5 (0.68 to 2.3)	<0.001	<0.001	-2.1 (-7.3 to 3.1)	0.44	0.61
mean_StepDur_cov	-0.02 (-0.04 to 0.00)	0.018	0.027	0.01 (-0.01 to 0.04)	0.34	0.51	0.02 (0.00 to 0.04)	0.030	0.046	0.21 (-0.60 to 1.0)	0.61	0.61
group_char		0.12	0.12		0.80	0.80		0.091	0.091		0.44	0.61
H1000’s	—			—			—			—
H2000’s	-0.27 (-0.76 to 0.23)			-0.09 (-1.4 to 1.2)			0.61 (-0.56 to 1.8)			3.2 (-1.7 to 8.0)
H3000’s	-0.49 (-0.95 to -0.03)			0.32 (-0.91 to 1.5)			1.2 (0.13 to 2.3)			1.2 (-3.3 to 5.8)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.72 to 1.4)	<0.001	<0.001	1.2 (0.32 to 2.1)	0.008	0.023	1.4 (0.64 to 2.2)	<0.001	0.001	-1.2 (-6.6 to 4.2)	0.66	0.93
mean_UDexc_COV	-0.01 (-0.02 to -0.01)	<0.001	0.001	0.00 (-0.01 to 0.01)	0.60	0.80	0.01 (0.00 to 0.02)	0.004	0.006	0.02 (-0.34 to 0.37)	0.93	0.93
group_char		0.13	0.13		0.80	0.80		0.094	0.094		0.42	0.93
H1000’s	—			—			—			—
H2000’s	-0.26 (-0.76 to 0.23)			-0.08 (-1.4 to 1.2)			0.61 (-0.56 to 1.8)			3.2 (-1.6 to 8.1)
H3000’s	-0.48 (-0.95 to -0.02)			0.32 (-0.90 to 1.5)			1.2 (0.12 to 2.3)			1.3 (-3.3 to 5.9)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.68 (0.33 to 1.0)	<0.001	<0.001	1.3 (0.37 to 2.2)	0.006	0.017	1.7 (0.95 to 2.5)	<0.001	<0.001	-2.0 (-7.9 to 4.0)	0.52	0.71
mean_UDexc_mean	8.8 (3.8 to 14)	<0.001	<0.001	-0.67 (-7.8 to 6.4)	0.85	0.85	-7.4 (-12 to -2.7)	0.002	0.003	40 (-169 to 250)	0.71	0.71
group_char		0.10	0.10		0.80	0.85		0.087	0.087		0.44	0.71
H1000’s	—			—			—			—
H2000’s	-0.29 (-0.79 to 0.20)			-0.08 (-1.4 to 1.2)			0.64 (-0.54 to 1.8)			3.2 (-1.7 to 8.0)
H3000’s	-0.51 (-0.97 to -0.04)			0.33 (-0.90 to 1.5)			1.2 (0.14 to 2.3)			1.3 (-3.3 to 5.8)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.73 to 1.4)	<0.001	<0.001	1.1 (0.22 to 2.0)	0.014	0.043	1.4 (0.62 to 2.2)	<0.001	0.001	-0.78 (-7.3 to 5.7)	0.81	0.94
mean_StanceDur	-0.16 (-0.26 to -0.06)	0.002	0.004	0.10 (-0.04 to 0.24)	0.16	0.24	0.13 (0.03 to 0.22)	0.007	0.011	-0.18 (-4.7 to 4.3)	0.94	0.94
group_char		0.062	0.062		0.78	0.78		0.074	0.074		0.44	0.94
H1000’s	—			—			—			—
H2000’s	-0.31 (-0.80 to 0.18)			-0.06 (-1.4 to 1.2)			0.65 (-0.52 to 1.8)			3.2 (-1.7 to 8.2)
H3000’s	-0.55 (-1.0 to -0.09)			0.36 (-0.87 to 1.6)			1.3 (0.18 to 2.4)			1.3 (-3.5 to 6.0)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.77 to 1.5)	<0.001	<0.001	1.1 (0.20 to 2.0)	0.017	0.051	1.4 (0.58 to 2.2)	<0.001	0.002	-1.1 (-8.6 to 6.5)	0.78	0.99
mean_GaitCycleDur	-0.13 (-0.22 to -0.05)	0.002	0.003	0.08 (-0.04 to 0.20)	0.19	0.29	0.10 (0.03 to 0.18)	0.009	0.014	0.03 (-3.7 to 3.7)	0.99	0.99
group_char		0.055	0.055		0.78	0.78		0.072	0.072		0.43	0.99
H1000’s	—			—			—			—
H2000’s	-0.32 (-0.81 to 0.17)			-0.06 (-1.4 to 1.3)			0.65 (-0.52 to 1.8)			3.3 (-1.7 to 8.2)
H3000’s	-0.56 (-1.0 to -0.10)			0.36 (-0.86 to 1.6)			1.3 (0.19 to 2.4)			1.3 (-3.5 to 6.2)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.73 (0.39 to 1.1)	<0.001	<0.001	1.3 (0.39 to 2.2)	0.005	0.014	1.7 (0.91 to 2.5)	<0.001	<0.001	-1.8 (-6.8 to 3.2)	0.49	0.70
mean_PeakUpDownVel_mean	0.67 (0.29 to 1.0)	<0.001	<0.001	-0.12 (-0.64 to 0.40)	0.65	0.80	-0.54 (-0.88 to -0.19)	0.002	0.003	3.2 (-13 to 19)	0.70	0.70
group_char		0.087	0.087		0.80	0.80		0.082	0.082		0.44	0.70
H1000’s	—			—			—			—
H2000’s	-0.30 (-0.79 to 0.20)			-0.08 (-1.4 to 1.2)			0.64 (-0.53 to 1.8)			3.2 (-1.7 to 8.0)
H3000’s	-0.52 (-0.98 to -0.06)			0.33 (-0.89 to 1.6)			1.3 (0.15 to 2.3)			1.2 (-3.3 to 5.8)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.41 (0.13 to 0.68)	0.004	0.012	2.2 (1.1 to 3.2)	<0.001	<0.001	2.3 (1.5 to 3.0)	<0.001	<0.001	0.59 (-0.59 to 1.8)	0.33	0.91
mean_APexc_COV	0.00 (0.00 to 0.01)	0.37	0.37	0.02 (0.00 to 0.04)	0.043	0.065	0.01 (0.00 to 0.02)	0.088	0.10	-0.01 (-0.07 to 0.05)	0.69	0.91
group_char		0.048	0.071		0.79	0.79		0.10	0.10		0.91	0.91
H1000’s	—			—			—			—
H2000’s	-0.46 (-0.87 to -0.06)			-0.58 (-2.2 to 1.1)			0.64 (-0.46 to 1.7)			-0.25 (-1.4 to 0.88)
H3000’s	-0.36 (-0.72 to 0.01)			-0.22 (-1.7 to 1.3)			1.1 (0.09 to 2.0)			-0.14 (-1.2 to 0.94)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.7 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.70 (NA to NA)			0.40 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.64 (0.36 to 0.91)	<0.001	<0.001	2.0 (0.92 to 3.1)	<0.001	<0.001	2.0 (1.3 to 2.7)	<0.001	<0.001	0.96 (-0.34 to 2.3)	0.15	0.44
mean_APexc_mean	-3.2 (-5.4 to -1.0)	0.004	0.006	9.5 (3.1 to 16)	0.004	0.006	7.6 (4.0 to 11)	<0.001	<0.001	-10 (-31 to 10)	0.32	0.48
group_char		0.039	0.039		0.85	0.85		0.037	0.037		0.67	0.67
H1000’s	—			—			—			—
H2000’s	-0.47 (-0.87 to -0.06)			-0.36 (-2.0 to 1.3)			0.77 (-0.33 to 1.9)			-0.41 (-1.5 to 0.67)
H3000’s	-0.37 (-0.73 to -0.01)			0.11 (-1.4 to 1.6)			1.3 (0.29 to 2.2)			-0.40 (-1.4 to 0.58)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.39 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.19 (-0.08 to 0.46)	0.16	0.16	2.5 (1.5 to 3.6)	<0.001	<0.001	2.7 (2.0 to 3.4)	<0.001	<0.001	0.33 (-0.85 to 1.5)	0.58	0.91
mean_MLexc_COV	0.02 (0.01 to 0.03)	<0.001	<0.001	0.00 (-0.03 to 0.02)	0.92	0.92	-0.02 (-0.03 to -0.01)	0.006	0.008	0.00 (-0.07 to 0.08)	0.91	0.91
group_char		0.054	0.081		0.85	0.92		0.057	0.057		0.79	0.91
H1000’s	—			—			—			—
H2000’s	-0.45 (-0.85 to -0.05)			-0.44 (-2.1 to 1.2)			0.72 (-0.38 to 1.8)			-0.32 (-1.4 to 0.73)
H3000’s	-0.34 (-0.69 to 0.02)			-0.01 (-1.5 to 1.4)			1.2 (0.21 to 2.1)			-0.26 (-1.2 to 0.68)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.7 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.71 (NA to NA)			0.40 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.65 (0.38 to 0.92)	<0.001	<0.001	2.1 (1.0 to 3.1)	<0.001	<0.001	2.0 (1.3 to 2.7)	<0.001	<0.001	0.71 (-0.32 to 1.7)	0.18	0.53
mean_MLexc_mean	-2.3 (-3.3 to -1.3)	<0.001	<0.001	5.5 (2.5 to 8.5)	<0.001	<0.001	4.9 (3.2 to 6.5)	<0.001	<0.001	-3.9 (-13 to 5.7)	0.43	0.64
group_char		0.079	0.079		0.83	0.83		0.064	0.064		0.82	0.82
H1000’s	—			—			—			—
H2000’s	-0.42 (-0.83 to -0.02)			-0.48 (-2.1 to 1.2)			0.67 (-0.43 to 1.8)			-0.29 (-1.4 to 0.77)
H3000’s	-0.32 (-0.68 to 0.04)			-0.02 (-1.5 to 1.4)			1.2 (0.19 to 2.1)			-0.25 (-1.2 to 0.68)
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.68 (NA to NA)			0.37 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.67 (0.40 to 0.94)	<0.001	<0.001	2.0 (0.94 to 3.1)	<0.001	<0.001	2.0 (1.3 to 2.7)	<0.001	<0.001	0.99 (-0.26 to 2.2)	0.12	0.36
mean_StepDur	-0.23 (-0.35 to -0.12)	<0.001	<0.001	0.58 (0.23 to 0.92)	<0.001	0.001	0.51 (0.32 to 0.70)	<0.001	<0.001	-0.67 (-1.9 to 0.52)	0.27	0.41
group_char		0.037	0.037		0.85	0.85		0.036	0.036		0.66	0.66
H1000’s	—			—			—			—
H2000’s	-0.47 (-0.87 to -0.07)			-0.37 (-2.0 to 1.3)			0.77 (-0.33 to 1.9)			-0.40 (-1.5 to 0.66)
H3000’s	-0.37 (-0.73 to -0.02)			0.11 (-1.4 to 1.6)			1.3 (0.30 to 2.2)			-0.40 (-1.4 to 0.57)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.56 (0.30 to 0.83)	<0.001	<0.001	2.2 (1.2 to 3.3)	<0.001	<0.001	2.2 (1.5 to 2.9)	<0.001	<0.001	0.89 (-0.04 to 1.8)	0.060	0.18
mean_StepDur_cov	-0.02 (-0.03 to -0.01)	0.003	0.005	0.06 (0.02 to 0.10)	0.006	0.010	0.04 (0.02 to 0.07)	<0.001	<0.001	-0.10 (-0.23 to 0.03)	0.14	0.21
group_char		0.075	0.075		0.84	0.84		0.069	0.069		0.84	0.84
H1000’s	—			—			—			—
H2000’s	-0.43 (-0.84 to -0.03)			-0.46 (-2.1 to 1.2)			0.69 (-0.42 to 1.8)			-0.28 (-1.3 to 0.77)
H3000’s	-0.32 (-0.68 to 0.04)			-0.03 (-1.5 to 1.4)			1.1 (0.17 to 2.1)			-0.22 (-1.2 to 0.70)
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.7 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.39 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.58 (0.32 to 0.84)	<0.001	<0.001	2.2 (1.2 to 3.3)	<0.001	<0.001	2.1 (1.4 to 2.8)	<0.001	<0.001	0.76 (-0.21 to 1.7)	0.13	0.38
mean_UDexc_COV	-0.01 (-0.02 to 0.00)	0.001	0.002	0.02 (0.01 to 0.04)	0.008	0.013	0.02 (0.01 to 0.03)	<0.001	<0.001	-0.03 (-0.09 to 0.03)	0.31	0.47
group_char		0.074	0.074		0.85	0.85		0.075	0.075		0.83	0.83
H1000’s	—			—			—			—
H2000’s	-0.44 (-0.84 to -0.03)			-0.45 (-2.1 to 1.2)			0.69 (-0.42 to 1.8)			-0.30 (-1.4 to 0.75)
H3000’s	-0.31 (-0.67 to 0.05)			-0.05 (-1.5 to 1.4)			1.1 (0.15 to 2.1)			-0.21 (-1.1 to 0.72)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.7 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.29 (0.02 to 0.55)	0.033	0.049	2.8 (1.8 to 3.9)	<0.001	<0.001	2.9 (2.2 to 3.5)	<0.001	<0.001	0.03 (-1.0 to 1.1)	0.95	0.95
mean_UDexc_mean	7.2 (3.8 to 11)	<0.001	<0.001	-13 (-24 to -3.0)	0.011	0.017	-18 (-23 to -12)	<0.001	<0.001	15 (-19 to 49)	0.39	0.95
group_char		0.066	0.066		0.85	0.85		0.060	0.060		0.79	0.95
H1000’s	—			—			—			—
H2000’s	-0.44 (-0.85 to -0.03)			-0.44 (-2.1 to 1.2)			0.71 (-0.40 to 1.8)			-0.32 (-1.4 to 0.74)
H3000’s	-0.33 (-0.69 to 0.03)			-0.01 (-1.5 to 1.5)			1.2 (0.20 to 2.1)			-0.27 (-1.2 to 0.67)
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.63 (0.36 to 0.89)	<0.001	<0.001	2.1 (1.0 to 3.1)	<0.001	<0.001	2.1 (1.4 to 2.7)	<0.001	<0.001	0.91 (-0.18 to 2.0)	0.10	0.30
mean_StanceDur	-0.13 (-0.20 to -0.07)	<0.001	<0.001	0.35 (0.15 to 0.56)	<0.001	<0.001	0.31 (0.19 to 0.42)	<0.001	<0.001	-0.42 (-1.1 to 0.28)	0.24	0.36
group_char		0.040	0.040		0.85	0.85		0.039	0.039		0.67	0.67
H1000’s	—			—			—			—
H2000’s	-0.47 (-0.87 to -0.06)			-0.37 (-2.0 to 1.3)			0.76 (-0.34 to 1.9)			-0.40 (-1.5 to 0.66)
H3000’s	-0.37 (-0.72 to -0.01)			0.09 (-1.4 to 1.6)			1.3 (0.28 to 2.2)			-0.39 (-1.3 to 0.57)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.67 (0.40 to 0.94)	<0.001	<0.001	2.0 (0.94 to 3.1)	<0.001	<0.001	2.0 (1.3 to 2.7)	<0.001	<0.001	0.99 (-0.27 to 2.2)	0.12	0.37
mean_GaitCycleDur	-0.12 (-0.17 to -0.06)	<0.001	<0.001	0.29 (0.12 to 0.46)	<0.001	0.001	0.25 (0.16 to 0.35)	<0.001	<0.001	-0.33 (-0.92 to 0.26)	0.27	0.41
group_char		0.037	0.037		0.85	0.85		0.036	0.036		0.66	0.66
H1000’s	—			—			—			—
H2000’s	-0.47 (-0.87 to -0.07)			-0.37 (-2.0 to 1.3)			0.77 (-0.33 to 1.9)			-0.40 (-1.5 to 0.66)
H3000’s	-0.37 (-0.73 to -0.02)			0.11 (-1.4 to 1.6)			1.3 (0.30 to 2.2)			-0.40 (-1.4 to 0.57)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.32 (0.06 to 0.58)	0.016	0.023	2.8 (1.8 to 3.8)	<0.001	<0.001	2.7 (2.1 to 3.4)	<0.001	<0.001	0.03 (-0.87 to 0.93)	0.94	0.94
mean_PeakUpDownVel_mean	0.60 (0.35 to 0.85)	<0.001	<0.001	-1.1 (-1.9 to -0.36)	0.004	0.006	-1.3 (-1.7 to -0.90)	<0.001	<0.001	1.5 (-1.1 to 4.1)	0.26	0.77
group_char		0.055	0.055		0.86	0.86		0.052	0.052		0.76	0.94
H1000’s	—			—			—			—
H2000’s	-0.45 (-0.86 to -0.05)			-0.42 (-2.1 to 1.2)			0.73 (-0.37 to 1.8)			-0.35 (-1.4 to 0.71)
H3000’s	-0.34 (-0.70 to 0.02)			0.02 (-1.4 to 1.5)			1.2 (0.23 to 2.2)			-0.30 (-1.2 to 0.64)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)			2.5 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.38 (0.15 to 0.62)	0.001	0.004	3.2 (2.2 to 4.2)	<0.001	<0.001	2.3 (1.7 to 2.9)	<0.001	<0.001	0.41 (-0.09 to 0.92)	0.11	0.33
mean_APexc_COV	0.00 (0.00 to 0.01)	0.45	0.45	0.01 (0.00 to 0.03)	0.10	0.15	0.00 (-0.01 to 0.01)	0.63	0.63	0.00 (-0.03 to 0.03)	0.99	0.99
group_char		0.056	0.084		0.43	0.43		0.12	0.19		0.50	0.75
H1000’s	—			—			—			—
H2000’s	-0.27 (-0.58 to 0.05)			-0.55 (-2.0 to 0.89)			0.39 (-0.55 to 1.3)			-0.17 (-0.58 to 0.25)
H3000’s	-0.36 (-0.66 to -0.05)			-0.89 (-2.3 to 0.48)			0.93 (0.04 to 1.8)			-0.27 (-0.72 to 0.18)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.15 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.56 (NA to NA)			0.34 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.44 (0.21 to 0.68)	<0.001	<0.001	2.8 (1.8 to 3.7)	<0.001	<0.001	1.9 (1.3 to 2.6)	<0.001	<0.001	0.52 (-0.06 to 1.1)	0.080	0.24
mean_APexc_mean	-0.25 (-2.5 to 2.0)	0.83	0.83	12 (7.2 to 17)	<0.001	<0.001	7.0 (4.0 to 10)	<0.001	<0.001	-2.0 (-12 to 7.7)	0.68	0.68
group_char		0.072	0.11		0.71	0.71		0.070	0.070		0.31	0.47
H1000’s	—			—			—			—
H2000’s	-0.25 (-0.57 to 0.06)			-0.34 (-1.8 to 1.1)			0.47 (-0.47 to 1.4)			-0.19 (-0.58 to 0.21)
H3000’s	-0.33 (-0.63 to -0.04)			-0.58 (-2.0 to 0.80)			1.1 (0.16 to 2.0)			-0.30 (-0.69 to 0.09)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.16 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.2 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.27 (0.03 to 0.50)	0.026	0.039	3.4 (2.4 to 4.4)	<0.001	<0.001	2.4 (1.8 to 3.1)	<0.001	<0.001	0.17 (-0.35 to 0.68)	0.52	0.52
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.009	0.027	0.00 (-0.02 to 0.02)	0.87	0.87	-0.01 (-0.02 to 0.01)	0.28	0.28	0.02 (-0.01 to 0.05)	0.29	0.52
group_char		0.086	0.086		0.55	0.82		0.11	0.16		0.38	0.52
H1000’s	—			—			—			—
H2000’s	-0.24 (-0.55 to 0.07)			-0.46 (-1.9 to 0.98)			0.40 (-0.53 to 1.3)			-0.15 (-0.53 to 0.23)
H3000’s	-0.32 (-0.62 to -0.03)			-0.75 (-2.1 to 0.61)			0.95 (0.06 to 1.8)			-0.26 (-0.62 to 0.11)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.15 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.56 (NA to NA)			0.34 (NA to NA)			1.2 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.50 (0.28 to 0.72)	<0.001	<0.001	3.0 (2.1 to 4.0)	<0.001	<0.001	2.1 (1.5 to 2.7)	<0.001	<0.001	0.49 (0.06 to 0.93)	0.026	0.079
mean_MLexc_mean	-0.89 (-2.0 to 0.20)	0.11	0.11	4.8 (2.3 to 7.2)	<0.001	<0.001	3.2 (1.7 to 4.6)	<0.001	<0.001	-1.0 (-5.5 to 3.5)	0.66	0.66
group_char		0.082	0.11		0.53	0.53		0.12	0.12		0.35	0.53
H1000’s	—			—			—			—
H2000’s	-0.24 (-0.55 to 0.07)			-0.51 (-2.0 to 0.92)			0.37 (-0.57 to 1.3)			-0.16 (-0.54 to 0.23)
H3000’s	-0.33 (-0.62 to -0.03)			-0.77 (-2.1 to 0.59)			0.94 (0.05 to 1.8)			-0.27 (-0.63 to 0.10)
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.16 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)			1.2 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.48 (0.25 to 0.71)	<0.001	<0.001	2.9 (1.9 to 3.8)	<0.001	<0.001	2.0 (1.4 to 2.6)	<0.001	<0.001	0.62 (0.03 to 1.2)	0.040	0.12
mean_StepDur	-0.06 (-0.18 to 0.07)	0.37	0.37	0.62 (0.35 to 0.88)	<0.001	<0.001	0.34 (0.18 to 0.50)	<0.001	<0.001	-0.22 (-0.81 to 0.36)	0.46	0.46
group_char		0.062	0.093		0.68	0.68		0.075	0.075		0.26	0.38
H1000’s	—			—			—			—
H2000’s	-0.26 (-0.57 to 0.05)			-0.37 (-1.8 to 1.1)			0.45 (-0.48 to 1.4)			-0.20 (-0.59 to 0.19)
H3000’s	-0.34 (-0.64 to -0.05)			-0.61 (-2.0 to 0.76)			1.0 (0.14 to 1.9)			-0.32 (-0.71 to 0.06)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.43 (0.22 to 0.65)	<0.001	<0.001	3.1 (2.2 to 4.1)	<0.001	<0.001	2.2 (1.5 to 2.8)	<0.001	<0.001	0.52 (0.11 to 0.94)	0.013	0.039
mean_StepDur_cov	0.00 (-0.01 to 0.01)	0.94	0.94	0.06 (0.03 to 0.09)	<0.001	<0.001	0.03 (0.01 to 0.05)	<0.001	0.001	-0.02 (-0.09 to 0.04)	0.52	0.52
group_char		0.074	0.11		0.55	0.55		0.11	0.11		0.34	0.51
H1000’s	—			—			—			—
H2000’s	-0.25 (-0.56 to 0.06)			-0.47 (-1.9 to 0.98)			0.40 (-0.54 to 1.3)			-0.16 (-0.54 to 0.22)
H3000’s	-0.33 (-0.63 to -0.03)			-0.75 (-2.1 to 0.62)			0.95 (0.06 to 1.8)			-0.27 (-0.63 to 0.09)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.33 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.47 (0.26 to 0.69)	<0.001	<0.001	3.2 (2.2 to 4.1)	<0.001	<0.001	2.1 (1.5 to 2.7)	<0.001	<0.001	0.58 (0.16 to 1.0)	0.007	0.020
mean_UDexc_COV	0.00 (-0.01 to 0.00)	0.29	0.29	0.02 (0.01 to 0.03)	0.003	0.004	0.02 (0.01 to 0.02)	<0.001	<0.001	-0.01 (-0.04 to 0.01)	0.33	0.39
group_char		0.078	0.12		0.53	0.53		0.12	0.12		0.39	0.39
H1000’s	—			—			—			—
H2000’s	-0.25 (-0.56 to 0.06)			-0.47 (-1.9 to 0.97)			0.39 (-0.54 to 1.3)			-0.16 (-0.54 to 0.22)
H3000’s	-0.33 (-0.62 to -0.03)			-0.78 (-2.1 to 0.59)			0.93 (0.04 to 1.8)			-0.25 (-0.61 to 0.11)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.55 (NA to NA)			0.32 (NA to NA)			1.2 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.33 (0.11 to 0.55)	0.003	0.009	3.8 (2.8 to 4.7)	<0.001	<0.001	2.6 (2.0 to 3.2)	<0.001	<0.001	0.10 (-0.36 to 0.56)	0.66	0.66
mean_UDexc_mean	4.0 (0.46 to 7.6)	0.027	0.040	-14 (-22 to -6.2)	<0.001	<0.001	-12 (-17 to -7.6)	<0.001	<0.001	13 (-3.3 to 29)	0.12	0.35
group_char		0.072	0.072		0.55	0.55		0.10	0.10		0.32	0.48
H1000’s	—			—			—			—
H2000’s	-0.25 (-0.57 to 0.06)			-0.45 (-1.9 to 0.99)			0.42 (-0.51 to 1.3)			-0.18 (-0.55 to 0.20)
H3000’s	-0.33 (-0.62 to -0.03)			-0.75 (-2.1 to 0.60)			0.95 (0.07 to 1.8)			-0.27 (-0.62 to 0.09)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.11 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)			1.2 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.47 (0.25 to 0.69)	<0.001	<0.001	3.0 (2.0 to 3.9)	<0.001	<0.001	2.1 (1.5 to 2.7)	<0.001	<0.001	0.58 (0.08 to 1.1)	0.022	0.067
mean_StanceDur	-0.03 (-0.11 to 0.04)	0.35	0.35	0.37 (0.21 to 0.52)	<0.001	<0.001	0.20 (0.10 to 0.29)	<0.001	<0.001	-0.14 (-0.48 to 0.21)	0.44	0.44
group_char		0.063	0.094		0.66	0.66		0.080	0.080		0.26	0.39
H1000’s	—			—			—			—
H2000’s	-0.26 (-0.57 to 0.05)			-0.38 (-1.8 to 1.1)			0.45 (-0.49 to 1.4)			-0.20 (-0.58 to 0.19)
H3000’s	-0.34 (-0.64 to -0.04)			-0.63 (-2.0 to 0.74)			1.0 (0.13 to 1.9)			-0.31 (-0.69 to 0.06)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.13 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.48 (0.25 to 0.71)	<0.001	<0.001	2.9 (1.9 to 3.8)	<0.001	<0.001	2.0 (1.4 to 2.6)	<0.001	<0.001	0.62 (0.03 to 1.2)	0.040	0.12
mean_GaitCycleDur	-0.03 (-0.09 to 0.03)	0.37	0.37	0.31 (0.18 to 0.44)	<0.001	<0.001	0.17 (0.09 to 0.25)	<0.001	<0.001	-0.11 (-0.40 to 0.18)	0.46	0.46
group_char		0.062	0.093		0.68	0.68		0.075	0.075		0.26	0.38
H1000’s	—			—			—			—
H2000’s	-0.26 (-0.57 to 0.05)			-0.37 (-1.8 to 1.1)			0.45 (-0.48 to 1.4)			-0.20 (-0.59 to 0.19)
H3000’s	-0.34 (-0.64 to -0.05)			-0.61 (-2.0 to 0.76)			1.0 (0.14 to 1.9)			-0.32 (-0.71 to 0.06)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.37 (0.16 to 0.58)	<0.001	0.002	3.7 (2.8 to 4.7)	<0.001	<0.001	2.6 (2.0 to 3.2)	<0.001	<0.001	0.17 (-0.22 to 0.56)	0.39	0.39
mean_PeakUpDownVel_mean	0.26 (0.00 to 0.52)	0.052	0.066	-1.2 (-1.8 to -0.62)	<0.001	<0.001	-0.98 (-1.3 to -0.64)	<0.001	<0.001	1.0 (-0.24 to 2.3)	0.11	0.34
group_char		0.066	0.066		0.57	0.57		0.095	0.095		0.27	0.39
H1000’s	—			—			—			—
H2000’s	-0.26 (-0.57 to 0.05)			-0.43 (-1.9 to 1.0)			0.43 (-0.50 to 1.4)			-0.19 (-0.56 to 0.19)
H3000’s	-0.33 (-0.63 to -0.04)			-0.73 (-2.1 to 0.63)			0.98 (0.09 to 1.9)			-0.29 (-0.65 to 0.07)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.10 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)			1.2 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.51 (0.19 to 0.82)	0.002	0.005	3.8 (2.9 to 4.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.03 (-0.77 to 0.83)	0.94	0.94
mean_APexc_COV	0.00 (-0.01 to 0.01)	0.95	0.95	0.01 (-0.01 to 0.02)	0.47	0.70	0.01 (0.00 to 0.02)	0.069	0.10	0.01 (-0.03 to 0.06)	0.52	0.77
group_char		0.57	0.85		0.77	0.77		0.82	0.82		0.43	0.77
H1000’s	—			—			—			—
H2000’s	-0.20 (-0.68 to 0.27)			-0.40 (-1.8 to 1.0)			0.24 (-0.52 to 1.0)			-0.24 (-0.88 to 0.40)
H3000’s	0.06 (-0.41 to 0.52)			-0.48 (-1.9 to 0.93)			0.15 (-0.59 to 0.89)			0.17 (-0.52 to 0.86)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.61 (0.29 to 0.92)	<0.001	<0.001	3.7 (2.7 to 4.6)	<0.001	<0.001	2.2 (1.7 to 2.7)	<0.001	<0.001	1.0 (0.10 to 1.9)	0.030	0.089
mean_APexc_mean	-1.7 (-3.7 to 0.22)	0.083	0.12	4.6 (-0.60 to 9.8)	0.083	0.12	3.7 (1.0 to 6.3)	0.006	0.010	-14 (-29 to 1.6)	0.080	0.12
group_char		0.56	0.56		0.86	0.86		0.65	0.65		0.44	0.44
H1000’s	—			—			—			—
H2000’s	-0.22 (-0.69 to 0.25)			-0.31 (-1.8 to 1.1)			0.32 (-0.44 to 1.1)			-0.29 (-0.89 to 0.31)
H3000’s	0.03 (-0.43 to 0.49)			-0.35 (-1.8 to 1.1)			0.28 (-0.46 to 1.0)			0.10 (-0.51 to 0.71)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.41 (0.10 to 0.72)	0.011	0.032	4.1 (3.1 to 5.0)	<0.001	<0.001	2.5 (2.0 to 3.0)	<0.001	<0.001	-0.02 (-0.79 to 0.76)	0.97	0.97
mean_MLexc_COV	0.01 (0.00 to 0.01)	0.054	0.081	-0.01 (-0.03 to 0.01)	0.44	0.66	-0.01 (-0.02 to 0.00)	0.092	0.14	0.02 (-0.03 to 0.07)	0.42	0.63
group_char		0.57	0.57		0.81	0.81		0.73	0.73		0.34	0.63
H1000’s	—			—			—			—
H2000’s	-0.20 (-0.67 to 0.27)			-0.36 (-1.8 to 1.1)			0.28 (-0.47 to 1.0)			-0.15 (-0.73 to 0.44)
H3000’s	0.06 (-0.40 to 0.51)			-0.42 (-1.8 to 0.98)			0.22 (-0.52 to 0.96)			0.31 (-0.26 to 0.88)
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.64 (0.34 to 0.95)	<0.001	<0.001	3.8 (2.8 to 4.7)	<0.001	<0.001	2.2 (1.7 to 2.7)	<0.001	<0.001	0.63 (-0.07 to 1.3)	0.077	0.23
mean_MLexc_mean	-1.6 (-2.6 to -0.72)	<0.001	<0.001	2.0 (-0.47 to 4.5)	0.11	0.17	2.1 (0.82 to 3.3)	0.001	0.002	-4.4 (-12 to 2.8)	0.23	0.34
group_char		0.60	0.60		0.81	0.81		0.74	0.74		0.37	0.37
H1000’s	—			—			—			—
H2000’s	-0.19 (-0.66 to 0.28)			-0.37 (-1.8 to 1.1)			0.27 (-0.49 to 1.0)			-0.12 (-0.71 to 0.46)
H3000’s	0.06 (-0.40 to 0.52)			-0.42 (-1.8 to 0.98)			0.22 (-0.52 to 0.97)			0.31 (-0.26 to 0.88)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.65 (0.33 to 0.96)	<0.001	<0.001	3.7 (2.8 to 4.7)	<0.001	<0.001	2.2 (1.7 to 2.7)	<0.001	<0.001	0.81 (-0.11 to 1.7)	0.083	0.25
mean_StepDur	-0.15 (-0.25 to -0.05)	0.004	0.006	0.22 (-0.06 to 0.50)	0.12	0.18	0.19 (0.05 to 0.33)	0.008	0.013	-0.60 (-1.5 to 0.32)	0.20	0.30
group_char		0.56	0.56		0.85	0.85		0.66	0.66		0.43	0.43
H1000’s	—			—			—			—
H2000’s	-0.23 (-0.70 to 0.25)			-0.33 (-1.8 to 1.1)			0.32 (-0.44 to 1.1)			-0.25 (-0.85 to 0.35)
H3000’s	0.02 (-0.44 to 0.48)			-0.37 (-1.8 to 1.0)			0.27 (-0.47 to 1.0)			0.16 (-0.44 to 0.77)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.58 (0.28 to 0.89)	<0.001	<0.001	3.9 (3.0 to 4.9)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.18 (-0.44 to 0.80)	0.57	0.73
mean_StepDur_cov	-0.01 (-0.03 to 0.00)	0.016	0.024	0.00 (-0.03 to 0.03)	0.99	0.99	0.02 (0.00 to 0.03)	0.038	0.058	0.02 (-0.08 to 0.11)	0.73	0.73
group_char		0.58	0.58		0.81	0.99		0.73	0.73		0.33	0.73
H1000’s	—			—			—			—
H2000’s	-0.20 (-0.67 to 0.27)			-0.36 (-1.8 to 1.1)			0.28 (-0.48 to 1.0)			-0.16 (-0.75 to 0.42)
H3000’s	0.06 (-0.40 to 0.52)			-0.42 (-1.8 to 0.98)			0.22 (-0.52 to 0.96)			0.30 (-0.27 to 0.87)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.59 (0.29 to 0.89)	<0.001	<0.001	3.8 (2.9 to 4.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.49 (-0.17 to 1.1)	0.15	0.42
mean_UDexc_COV	-0.01 (-0.01 to 0.00)	0.015	0.022	0.01 (-0.01 to 0.02)	0.27	0.40	0.01 (0.00 to 0.02)	0.003	0.005	-0.02 (-0.06 to 0.03)	0.42	0.42
group_char		0.57	0.57		0.80	0.80		0.74	0.74		0.32	0.42
H1000’s	—			—			—			—
H2000’s	-0.20 (-0.67 to 0.27)			-0.37 (-1.8 to 1.1)			0.28 (-0.48 to 1.0)			-0.14 (-0.72 to 0.45)
H3000’s	0.06 (-0.39 to 0.52)			-0.43 (-1.8 to 0.97)			0.21 (-0.53 to 0.95)			0.32 (-0.25 to 0.89)
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.36 (0.05 to 0.67)	0.021	0.031	4.1 (3.2 to 5.0)	<0.001	<0.001	2.6 (2.1 to 3.0)	<0.001	<0.001	0.02 (-0.70 to 0.74)	0.95	0.95
mean_UDexc_mean	6.2 (3.2 to 9.3)	<0.001	<0.001	-6.0 (-14 to 2.4)	0.16	0.24	-7.0 (-11 to -2.7)	0.001	0.002	10 (-16 to 36)	0.44	0.65
group_char		0.58	0.58		0.82	0.82		0.71	0.71		0.36	0.65
H1000’s	—			—			—			—
H2000’s	-0.20 (-0.68 to 0.27)			-0.36 (-1.8 to 1.1)			0.29 (-0.46 to 1.0)			-0.16 (-0.74 to 0.42)
H3000’s	0.05 (-0.41 to 0.51)			-0.41 (-1.8 to 0.99)			0.23 (-0.50 to 0.97)			0.29 (-0.28 to 0.86)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.62 (0.32 to 0.93)	<0.001	<0.001	3.8 (2.8 to 4.7)	<0.001	<0.001	2.2 (1.8 to 2.7)	<0.001	<0.001	0.75 (-0.03 to 1.5)	0.058	0.18
mean_StanceDur	-0.09 (-0.15 to -0.03)	0.003	0.005	0.13 (-0.03 to 0.30)	0.10	0.16	0.12 (0.03 to 0.20)	0.006	0.009	-0.39 (-0.94 to 0.16)	0.17	0.25
group_char		0.56	0.56		0.84	0.84		0.67	0.67		0.42	0.42
H1000’s	—			—			—			—
H2000’s	-0.22 (-0.69 to 0.25)			-0.33 (-1.8 to 1.1)			0.31 (-0.45 to 1.1)			-0.24 (-0.84 to 0.35)
H3000’s	0.03 (-0.43 to 0.49)			-0.38 (-1.8 to 1.0)			0.26 (-0.48 to 1.0)			0.18 (-0.42 to 0.77)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.65 (0.33 to 0.96)	<0.001	<0.001	3.7 (2.8 to 4.7)	<0.001	<0.001	2.2 (1.7 to 2.7)	<0.001	<0.001	0.81 (-0.11 to 1.7)	0.084	0.25
mean_GaitCycleDur	-0.08 (-0.13 to -0.02)	0.004	0.006	0.11 (-0.03 to 0.25)	0.12	0.18	0.09 (0.02 to 0.16)	0.008	0.012	-0.30 (-0.76 to 0.16)	0.20	0.31
group_char		0.56	0.56		0.85	0.85		0.66	0.66		0.43	0.43
H1000’s	—			—			—			—
H2000’s	-0.23 (-0.70 to 0.25)			-0.33 (-1.8 to 1.1)			0.32 (-0.44 to 1.1)			-0.25 (-0.85 to 0.35)
H3000’s	0.02 (-0.44 to 0.48)			-0.37 (-1.8 to 1.0)			0.27 (-0.47 to 1.0)			0.16 (-0.44 to 0.77)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.40 (0.10 to 0.71)	0.009	0.013	4.1 (3.1 to 5.0)	<0.001	<0.001	2.5 (2.0 to 3.0)	<0.001	<0.001	0.01 (-0.60 to 0.61)	0.98	0.98
mean_PeakUpDownVel_mean	0.45 (0.22 to 0.68)	<0.001	<0.001	-0.52 (-1.1 to 0.09)	0.10	0.14	-0.53 (-0.84 to -0.22)	<0.001	0.001	1.1 (-0.93 to 3.1)	0.29	0.57
group_char		0.57	0.57		0.83	0.83		0.69	0.69		0.38	0.57
H1000’s	—			—			—			—
H2000’s	-0.21 (-0.68 to 0.26)			-0.35 (-1.8 to 1.1)			0.30 (-0.46 to 1.1)			-0.18 (-0.76 to 0.41)
H3000’s	0.04 (-0.42 to 0.50)			-0.40 (-1.8 to 1.0)			0.24 (-0.49 to 0.98)			0.26 (-0.31 to 0.83)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.3 (0.92 to 1.7)	<0.001	<0.001	1.1 (0.52 to 1.7)	<0.001	<0.001	0.72 (0.25 to 1.2)	0.003	0.009	3.3 (-2.1 to 8.7)	0.23	0.64
mean_APexc_COV	-0.01 (-0.02 to 0.00)	0.057	0.057	0.01 (-0.01 to 0.03)	0.30	0.45	0.00 (-0.01 to 0.01)	0.79	0.79	-0.07 (-0.37 to 0.22)	0.64	0.64
group_char		0.033	0.049		0.45	0.45		0.060	0.090		0.48	0.64
H1000’s	—			—			—			—
H2000’s	-0.65 (-1.2 to -0.12)			-0.10 (-0.90 to 0.71)			0.58 (-0.08 to 1.2)			-2.0 (-6.5 to 2.4)
H3000’s	-0.55 (-1.1 to -0.02)			0.41 (-0.41 to 1.2)			0.77 (0.10 to 1.4)			0.22 (-5.0 to 5.4)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	0.70 (0.08 to 1.3)	0.027	0.040	0.38 (-0.09 to 0.85)	0.12	0.12	0.35 (-6.4 to 7.1)	0.92	0.92
mean_APexc_mean	-6.2 (-9.3 to -3.0)	<0.001	<0.001	10 (5.0 to 16)	<0.001	<0.001	6.6 (4.0 to 9.2)	<0.001	<0.001	34 (-80 to 148)	0.56	0.84
group_char		0.005	0.005		0.21	0.21		0.023	0.034		0.51	0.84
H1000’s	—			—			—			—
H2000’s	-0.77 (-1.3 to -0.24)			0.07 (-0.73 to 0.86)			0.65 (0.00 to 1.3)			-2.1 (-6.3 to 2.0)
H3000’s	-0.75 (-1.3 to -0.22)			0.66 (-0.14 to 1.5)			0.88 (0.22 to 1.5)			-0.08 (-4.4 to 4.3)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.50 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.62 to 1.4)	<0.001	<0.001	1.1 (0.51 to 1.7)	<0.001	<0.001	0.82 (0.35 to 1.3)	<0.001	0.002	3.4 (-2.3 to 9.2)	0.24	0.63
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.028	0.028	0.01 (-0.01 to 0.03)	0.25	0.36	-0.01 (-0.01 to 0.00)	0.19	0.19	-0.09 (-0.45 to 0.27)	0.63	0.63
group_char		0.011	0.017		0.36	0.36		0.051	0.077		0.43	0.63
H1000’s	—			—			—			—
H2000’s	-0.70 (-1.2 to -0.18)			-0.04 (-0.84 to 0.77)			0.58 (-0.08 to 1.2)			-2.5 (-6.5 to 1.5)
H3000’s	-0.66 (-1.2 to -0.14)			0.50 (-0.30 to 1.3)			0.78 (0.13 to 1.4)			-0.52 (-4.5 to 3.5)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.4 (1.0 to 1.8)	<0.001	<0.001	1.0 (0.43 to 1.6)	<0.001	0.002	0.51 (0.05 to 0.98)	0.029	0.044	0.47 (-4.3 to 5.3)	0.85	0.85
mean_MLexc_mean	-3.0 (-4.3 to -1.7)	<0.001	<0.001	3.1 (0.74 to 5.5)	0.010	0.015	2.7 (1.6 to 3.8)	<0.001	<0.001	21 (-27 to 70)	0.39	0.59
group_char		0.015	0.015		0.31	0.31		0.055	0.055		0.39	0.59
H1000’s	—			—			—			—
H2000’s	-0.68 (-1.2 to -0.15)			-0.07 (-0.87 to 0.72)			0.56 (-0.10 to 1.2)			-2.7 (-6.7 to 1.3)
H3000’s	-0.65 (-1.2 to -0.13)			0.51 (-0.29 to 1.3)			0.78 (0.12 to 1.4)			-0.60 (-4.6 to 3.4)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.2 to 1.9)	<0.001	<0.001	0.90 (0.29 to 1.5)	0.004	0.009	0.46 (-0.01 to 0.93)	0.054	0.054	-0.25 (-7.0 to 6.5)	0.94	0.94
mean_StepDur	-0.42 (-0.57 to -0.26)	<0.001	<0.001	0.40 (0.11 to 0.69)	0.006	0.009	0.30 (0.17 to 0.44)	<0.001	<0.001	2.7 (-4.1 to 9.5)	0.44	0.73
group_char		0.004	0.004		0.25	0.25		0.029	0.043		0.49	0.73
H1000’s	—			—			—			—
H2000’s	-0.77 (-1.3 to -0.24)			0.02 (-0.79 to 0.82)			0.63 (-0.03 to 1.3)			-2.1 (-6.2 to 2.0)
H3000’s	-0.76 (-1.3 to -0.24)			0.61 (-0.19 to 1.4)			0.86 (0.20 to 1.5)			0.11 (-4.3 to 4.5)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.4 (1.0 to 1.8)	<0.001	<0.001	1.1 (0.52 to 1.7)	<0.001	<0.001	0.61 (0.15 to 1.1)	0.010	0.015	0.33 (-4.5 to 5.2)	0.89	0.89
mean_StepDur_cov	-0.05 (-0.07 to -0.03)	<0.001	<0.001	0.03 (0.00 to 0.07)	0.088	0.13	0.02 (0.01 to 0.04)	0.007	0.015	0.37 (-0.43 to 1.2)	0.36	0.69
group_char		0.016	0.016		0.37	0.37		0.058	0.058		0.46	0.69
H1000’s	—			—			—			—
H2000’s	-0.70 (-1.2 to -0.18)			-0.04 (-0.85 to 0.76)			0.58 (-0.08 to 1.2)			-2.5 (-6.5 to 1.5)
H3000’s	-0.62 (-1.2 to -0.10)			0.49 (-0.32 to 1.3)			0.76 (0.10 to 1.4)			-0.84 (-4.9 to 3.2)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.4 (1.0 to 1.8)	<0.001	<0.001	1.2 (0.58 to 1.7)	<0.001	<0.001	0.61 (0.14 to 1.1)	0.010	0.016	2.3 (-2.5 to 7.1)	0.36	0.68
mean_UDexc_COV	-0.02 (-0.03 to -0.01)	<0.001	<0.001	0.01 (0.00 to 0.02)	0.21	0.31	0.01 (0.00 to 0.02)	0.002	0.006	-0.01 (-0.32 to 0.31)	0.97	0.97
group_char		0.017	0.017		0.36	0.36		0.061	0.061		0.45	0.68
H1000’s	—			—			—			—
H2000’s	-0.69 (-1.2 to -0.16)			-0.05 (-0.86 to 0.76)			0.57 (-0.09 to 1.2)			-2.5 (-6.5 to 1.5)
H3000’s	-0.62 (-1.1 to -0.10)			0.49 (-0.31 to 1.3)			0.76 (0.10 to 1.4)			-0.57 (-4.6 to 3.5)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.89 (0.52 to 1.3)	<0.001	<0.001	1.3 (0.75 to 1.9)	<0.001	<0.001	0.89 (0.43 to 1.4)	<0.001	<0.001	1.3 (-3.6 to 6.2)	0.59	0.68
mean_UDexc_mean	12 (7.6 to 16)	<0.001	<0.001	-2.9 (-11 to 4.9)	0.47	0.47	-6.7 (-10 to -3.0)	<0.001	<0.001	36 (-135 to 207)	0.68	0.68
group_char		0.010	0.010		0.34	0.47		0.049	0.049		0.45	0.68
H1000’s	—			—			—			—
H2000’s	-0.71 (-1.2 to -0.19)			-0.04 (-0.85 to 0.76)			0.59 (-0.08 to 1.2)			-2.5 (-6.5 to 1.5)
H3000’s	-0.68 (-1.2 to -0.16)			0.51 (-0.29 to 1.3)			0.79 (0.13 to 1.5)			-0.66 (-4.7 to 3.4)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.8)	<0.001	<0.001	0.97 (0.38 to 1.6)	0.001	0.004	0.51 (0.05 to 0.98)	0.030	0.032	0.33 (-5.4 to 6.1)	0.91	0.91
mean_StanceDur	-0.24 (-0.34 to -0.15)	<0.001	<0.001	0.24 (0.07 to 0.41)	0.005	0.008	0.18 (0.10 to 0.26)	<0.001	<0.001	1.5 (-2.6 to 5.6)	0.47	0.73
group_char		0.005	0.005		0.26	0.26		0.032	0.032		0.49	0.73
H1000’s	—			—			—			—
H2000’s	-0.76 (-1.3 to -0.23)			0.01 (-0.79 to 0.81)			0.62 (-0.04 to 1.3)			-2.2 (-6.3 to 1.9)
H3000’s	-0.74 (-1.3 to -0.22)			0.59 (-0.21 to 1.4)			0.84 (0.19 to 1.5)			-0.05 (-4.3 to 4.2)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.2 to 1.9)	<0.001	<0.001	0.90 (0.29 to 1.5)	0.004	0.009	0.46 (-0.01 to 0.93)	0.054	0.054	-0.24 (-7.0 to 6.5)	0.94	0.94
mean_GaitCycleDur	-0.21 (-0.29 to -0.13)	<0.001	<0.001	0.20 (0.06 to 0.34)	0.006	0.009	0.15 (0.08 to 0.22)	<0.001	<0.001	1.3 (-2.1 to 4.7)	0.44	0.73
group_char		0.004	0.004		0.25	0.25		0.029	0.043		0.49	0.73
H1000’s	—			—			—			—
H2000’s	-0.77 (-1.3 to -0.24)			0.02 (-0.79 to 0.82)			0.63 (-0.03 to 1.3)			-2.1 (-6.2 to 2.0)
H3000’s	-0.76 (-1.3 to -0.24)			0.61 (-0.19 to 1.4)			0.86 (0.20 to 1.5)			0.11 (-4.3 to 4.5)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Characteristic	THETA			ALPHA			BETA			THETA/BETA
Changes in mean_UDexc_COV for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.98 (0.61 to 1.3)	<0.001	<0.001	1.4 (0.81 to 2.0)	<0.001	<0.001	0.87 (0.41 to 1.3)	<0.001	<0.001	1.7 (-2.5 to 5.9)	0.43	0.67
mean_PeakUpDownVel_mean	0.82 (0.51 to 1.1)	<0.001	<0.001	-0.49 (-1.1 to 0.09)	0.10	0.14	-0.58 (-0.86 to -0.31)	<0.001	<0.001	2.1 (-11 to 16)	0.77	0.77
group_char		0.008	0.008		0.32	0.32		0.044	0.044		0.44	0.67
H1000’s	—			—			—			—
H2000’s	-0.72 (-1.2 to -0.20)			-0.03 (-0.84 to 0.77)			0.60 (-0.06 to 1.3)			-2.5 (-6.6 to 1.5)
H3000’s	-0.69 (-1.2 to -0.17)			0.53 (-0.28 to 1.3)			0.81 (0.15 to 1.5)			-0.68 (-4.7 to 3.4)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

lme_mods

Jacob Salminen

2024-04-19

Packages & Setup

GTSUMMARY THEME

load table

get unique entries

get speeds only

create ratios

EEG TESTS: SPEED, GROUP, INTERACTION

LME EEG ~ 1+speed+group+speed:group